{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Sample-Efficient Value-Based Methods\n", "\n", "> 그로킹 심층 강화학습 중 10장 내용인 \"샘플 효율적인 가치기반의 학습 방법들\"에 대한 내용입니다.\n", "\n", "- hide: true\n", "- toc: true\n", "- badges: true\n", "- comments: true\n", "- author: Chanseok Kang\n", "- categories: [Python, Reinforcement_Learning, Grokking_Deep_Reinforcement_Learning]\n", "- permalink: /book/:title:output_ext\n", "- search_exclude: false" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Note: 실행을 위해 아래의 패키지들을 설치해주기 바랍니다." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#collapse\n", "!pip install tqdm numpy scikit-learn pyglet setuptools && \\\n", "!pip install gym asciinema pandas tabulate tornado==5.* PyBullet && \\\n", "!pip install git+https://github.com/pybox2d/pybox2d#egg=Box2D && \\\n", "!pip install git+https://github.com/mimoralea/gym-bandits#egg=gym-bandits && \\\n", "!pip install git+https://github.com/mimoralea/gym-walk#egg=gym-walk && \\\n", "!pip install git+https://github.com/mimoralea/gym-aima#egg=gym-aima && \\\n", "!pip install gym[atari]\n", "!pip install torch torchvision" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import warnings ; warnings.filterwarnings('ignore')\n", "import os\n", "\n", "import torch\n", "import torch.nn as nn\n", "import torch.nn.functional as F\n", "import torch.optim as optim\n", "\n", "import numpy as np\n", "from IPython.display import display\n", "from collections import namedtuple, deque\n", "import matplotlib.pyplot as plt\n", "import matplotlib.pylab as pylab\n", "from itertools import cycle, count\n", "from textwrap import wrap\n", "\n", "import matplotlib\n", "import subprocess\n", "import os.path\n", "import tempfile\n", "import random\n", "import base64\n", "import pprint\n", "import glob\n", "import time\n", "import json\n", "import sys\n", "import gym\n", "import io\n", "import os\n", "import gc\n", "import platform\n", "\n", "from gym import wrappers\n", "from subprocess import check_output\n", "from IPython.display import HTML\n", "\n", "LEAVE_PRINT_EVERY_N_SECS = 60\n", "ERASE_LINE = '\\x1b[2K'\n", "EPS = 1e-6\n", "RESULTS_DIR = os.path.join('.', 'gym-results')\n", "SEEDS = (12, 34, 56, 78, 90)\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "plt.style.use('fivethirtyeight')\n", "params = {\n", " 'figure.figsize': (15, 8),\n", " 'font.size': 24,\n", " 'legend.fontsize': 20,\n", " 'axes.titlesize': 28,\n", " 'axes.labelsize': 24,\n", " 'xtick.labelsize': 20,\n", " 'ytick.labelsize': 20\n", "}\n", "pylab.rcParams.update(params)\n", "np.set_printoptions(suppress=True)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "torch.cuda.is_available()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def get_make_env_fn(**kargs):\n", " def make_env_fn(env_name, seed=None, render=None, record=False,\n", " unwrapped=False, monitor_mode=None, \n", " inner_wrappers=None, outer_wrappers=None):\n", " mdir = tempfile.mkdtemp()\n", " env = None\n", " if render:\n", " try:\n", " env = gym.make(env_name, render=render)\n", " except:\n", " pass\n", " if env is None:\n", " env = gym.make(env_name)\n", " if seed is not None: env.seed(seed)\n", " env = env.unwrapped if unwrapped else env\n", " if inner_wrappers:\n", " for wrapper in inner_wrappers:\n", " env = wrapper(env)\n", " env = wrappers.Monitor(\n", " env, mdir, force=True, \n", " mode=monitor_mode, \n", " video_callable=lambda e_idx: record) if monitor_mode else env\n", " if outer_wrappers:\n", " for wrapper in outer_wrappers:\n", " env = wrapper(env)\n", " return env\n", " return make_env_fn, kargs" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def get_videos_html(env_videos, title, max_n_videos=5):\n", " videos = np.array(env_videos)\n", " if len(videos) == 0:\n", " return\n", " \n", " n_videos = max(1, min(max_n_videos, len(videos)))\n", " idxs = np.linspace(0, len(videos) - 1, n_videos).astype(int) if n_videos > 1 else [-1,]\n", " videos = videos[idxs,...]\n", "\n", " strm = '

{}

'.format(title)\n", " for video_path, meta_path in videos:\n", " video = io.open(video_path, 'r+b').read()\n", " encoded = base64.b64encode(video)\n", "\n", " with open(meta_path) as data_file: \n", " meta = json.load(data_file)\n", "\n", " html_tag = \"\"\"\n", "

{0}

\n", " \"\"\"\n", " strm += html_tag.format('Episode ' + str(meta['episode_id']), encoded.decode('ascii'))\n", " return strm" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Windows'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "platform.system()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "def get_gif_html(env_videos, title, subtitle_eps=None, max_n_videos=4):\n", " videos = np.array(env_videos)\n", " if len(videos) == 0:\n", " return\n", " \n", " n_videos = max(1, min(max_n_videos, len(videos)))\n", " idxs = np.linspace(0, len(videos) - 1, n_videos).astype(int) if n_videos > 1 else [-1,]\n", " videos = videos[idxs,...]\n", "\n", " strm = '

{}

'.format(title)\n", " for video_path, meta_path in videos:\n", " basename = os.path.splitext(video_path)[0]\n", " gif_path = basename + '.gif'\n", " if not os.path.exists(gif_path):\n", " if platform.system() == 'Linux':\n", " ps = subprocess.Popen(\n", " ('ffmpeg', \n", " '-i', video_path, \n", " '-r', '7',\n", " '-f', 'image2pipe', \n", " '-vcodec', 'ppm',\n", " '-crf', '20',\n", " '-vf', 'scale=512:-1',\n", " '-'), \n", " stdout=subprocess.PIPE,\n", " universal_newlines=True)\n", " output = subprocess.check_output(\n", " ('convert',\n", " '-coalesce',\n", " '-delay', '7',\n", " '-loop', '0',\n", " '-fuzz', '2%',\n", " '+dither',\n", " '-deconstruct',\n", " '-layers', 'Optimize',\n", " '-', gif_path), \n", " stdin=ps.stdout)\n", " ps.wait()\n", " else:\n", " ps = subprocess.Popen('ffmpeg -i {} -r 7 -f image2pipe \\\n", " -vcodec ppm -crf 20 -vf scale=512:-1 - | \\\n", " convert -coalesce -delay 7 -loop 0 -fuzz 2% \\\n", " +dither -deconstruct -layers Optimize \\\n", " - {}'.format(video_path, gif_path), \n", " stdin=subprocess.PIPE, \n", " shell=True)\n", " ps.wait()\n", "\n", " gif = io.open(gif_path, 'r+b').read()\n", " encoded = base64.b64encode(gif)\n", " \n", " with open(meta_path) as data_file: \n", " meta = json.load(data_file)\n", "\n", " html_tag = \"\"\"\n", "

{0}

\n", " \"\"\"\n", " prefix = 'Trial ' if subtitle_eps is None else 'Episode '\n", " sufix = str(meta['episode_id'] if subtitle_eps is None \\\n", " else subtitle_eps[meta['episode_id']])\n", " strm += html_tag.format(prefix + sufix, encoded.decode('ascii'))\n", " return strm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dueling DDQN" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "class FCQ(nn.Module):\n", " def __init__(self, \n", " input_dim, \n", " output_dim, \n", " hidden_dims=(32,32), \n", " activation_fc=F.relu):\n", " super(FCQ, self).__init__()\n", " self.activation_fc = activation_fc\n", "\n", " self.input_layer = nn.Linear(input_dim, hidden_dims[0])\n", "\n", " self.hidden_layers = nn.ModuleList()\n", " for i in range(len(hidden_dims)-1):\n", " hidden_layer = nn.Linear(hidden_dims[i], hidden_dims[i+1])\n", " self.hidden_layers.append(hidden_layer)\n", " self.output_layer = nn.Linear(hidden_dims[-1], output_dim)\n", "\n", " device = \"cpu\"\n", " if torch.cuda.is_available():\n", " device = \"cuda:0\"\n", " self.device = torch.device(device)\n", " self.to(self.device)\n", " \n", " def _format(self, state):\n", " x = state\n", " if not isinstance(x, torch.Tensor):\n", " x = torch.tensor(x, \n", " device=self.device, \n", " dtype=torch.float32)\n", " x = x.unsqueeze(0)\n", " return x\n", "\n", " def forward(self, state):\n", " x = self._format(state)\n", " x = self.activation_fc(self.input_layer(x))\n", " for hidden_layer in self.hidden_layers:\n", " x = self.activation_fc(hidden_layer(x))\n", " x = self.output_layer(x)\n", " return x\n", " \n", " def numpy_float_to_device(self, variable):\n", " variable = torch.from_numpy(variable).float().to(self.device)\n", " return variable\n", " \n", " def load(self, experiences):\n", " states, actions, new_states, rewards, is_terminals = experiences\n", " states = torch.from_numpy(states).float().to(self.device)\n", " actions = torch.from_numpy(actions).long().to(self.device)\n", " new_states = torch.from_numpy(new_states).float().to(self.device)\n", " rewards = torch.from_numpy(rewards).float().to(self.device)\n", " is_terminals = torch.from_numpy(is_terminals).float().to(self.device)\n", " return states, actions, new_states, rewards, is_terminals" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "class GreedyStrategy():\n", " def __init__(self):\n", " self.exploratory_action_taken = False\n", "\n", " def select_action(self, model, state):\n", " with torch.no_grad():\n", " q_values = model(state).cpu().detach().data.numpy().squeeze()\n", " return np.argmax(q_values)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "class EGreedyStrategy():\n", " def __init__(self, epsilon=0.1):\n", " self.epsilon = epsilon\n", " self.exploratory_action_taken = None\n", "\n", " def select_action(self, model, state):\n", " self.exploratory_action_taken = False\n", " with torch.no_grad():\n", " q_values = model(state).cpu().detach().data.numpy().squeeze()\n", "\n", " if np.random.rand() > self.epsilon:\n", " action = np.argmax(q_values)\n", " else: \n", " action = np.random.randint(len(q_values))\n", "\n", " self.exploratory_action_taken = action != np.argmax(q_values)\n", " return action" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "class EGreedyLinearStrategy():\n", " def __init__(self, init_epsilon=1.0, min_epsilon=0.1, max_steps=20000):\n", " self.t = 0\n", " self.epsilon = init_epsilon\n", " self.init_epsilon = init_epsilon\n", " self.min_epsilon = min_epsilon\n", " self.max_steps = max_steps\n", " self.exploratory_action_taken = None\n", " \n", " def _epsilon_update(self):\n", " epsilon = 1 - self.t / self.max_steps\n", " epsilon = (self.init_epsilon - self.min_epsilon) * epsilon + self.min_epsilon\n", " epsilon = np.clip(epsilon, self.min_epsilon, self.init_epsilon)\n", " self.t += 1\n", " return epsilon\n", "\n", " def select_action(self, model, state):\n", " self.exploratory_action_taken = False\n", " with torch.no_grad():\n", " q_values = model(state).cpu().detach().data.numpy().ipynb_checkpoints/squeeze()\n", "\n", " if np.random.rand() > self.epsilon:\n", " action = np.argmax(q_values)\n", " else: \n", " action = np.random.randint(len(q_values))\n", "\n", " self.epsilon = self._epsilon_update()\n", " self.exploratory_action_taken = action != np.argmax(q_values)\n", " return action" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "class EGreedyExpStrategy():\n", " def __init__(self, init_epsilon=1.0, min_epsilon=0.1, decay_steps=20000):\n", " self.epsilon = init_epsilon\n", " self.init_epsilon = init_epsilon\n", " self.decay_steps = decay_steps\n", " self.min_epsilon = min_epsilon\n", " self.epsilons = 0.01 / np.logspace(-2, 0, decay_steps, endpoint=False) - 0.01\n", " self.epsilons = self.epsilons * (init_epsilon - min_epsilon) + min_epsilon\n", " self.t = 0\n", " self.exploratory_action_taken = None\n", "\n", " def _epsilon_update(self):\n", " self.epsilon = self.min_epsilon if self.t >= self.decay_steps else self.epsilons[self.t]\n", " self.t += 1\n", " return self.epsilon\n", "\n", " def select_action(self, model, state):\n", " self.exploratory_action_taken = False\n", " with torch.no_grad():\n", " q_values = model(state).detach().cpu().data.numpy().squeeze()\n", "\n", " if np.random.rand() > self.epsilon:\n", " action = np.argmax(q_values)\n", " else:\n", " action = np.random.randint(len(q_values))\n", "\n", " self._epsilon_update()\n", " self.exploratory_action_taken = action != np.argmax(q_values)\n", " return action" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "class SoftMaxStrategy():\n", " def __init__(self, \n", " init_temp=1.0, \n", " min_temp=0.3, \n", " exploration_ratio=0.8, \n", " max_steps=25000):\n", " self.t = 0\n", " self.init_temp = init_temp\n", " self.exploration_ratio = exploration_ratio\n", " self.min_temp = min_temp\n", " self.max_steps = max_steps\n", " self.exploratory_action_taken = None\n", " \n", " def _update_temp(self):\n", " temp = 1 - self.t / (self.max_steps * self.exploration_ratio)\n", " temp = (self.init_temp - self.min_temp) * temp + self.min_temp\n", " temp = np.clip(temp, self.min_temp, self.init_temp)\n", " self.t += 1\n", " return temp\n", "\n", " def select_action(self, model, state):\n", " self.exploratory_action_taken = False\n", " temp = self._update_temp()\n", "\n", " with torch.no_grad():\n", " q_values = model(state).cpu().detach().data.numpy().squeeze()\n", " scaled_qs = q_values/temp\n", " norm_qs = scaled_qs - scaled_qs.max() \n", " e = np.exp(norm_qs)\n", " probs = e / np.sum(e)\n", " assert np.isclose(probs.sum(), 1.0)\n", "\n", " action = np.random.choice(np.arange(len(probs)), size=1, p=probs)[0]\n", " self.exploratory_action_taken = action != np.argmax(q_values)\n", " return action" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "class ReplayBuffer():\n", " def __init__(self, \n", " max_size=10000, \n", " batch_size=64):\n", " self.ss_mem = np.empty(shape=(max_size), dtype=np.ndarray)\n", " self.as_mem = np.empty(shape=(max_size), dtype=np.ndarray)\n", " self.rs_mem = np.empty(shape=(max_size), dtype=np.ndarray)\n", " self.ps_mem = np.empty(shape=(max_size), dtype=np.ndarray)\n", " self.ds_mem = np.empty(shape=(max_size), dtype=np.ndarray)\n", "\n", " self.max_size = max_size\n", " self.batch_size = batch_size\n", " self._idx = 0\n", " self.size = 0\n", " \n", " def store(self, sample):\n", " s, a, r, p, d = sample\n", " self.ss_mem[self._idx] = s\n", " self.as_mem[self._idx] = a\n", " self.rs_mem[self._idx] = r\n", " self.ps_mem[self._idx] = p\n", " self.ds_mem[self._idx] = d\n", " \n", " self._idx += 1\n", " self._idx = self._idx % self.max_size\n", "\n", " self.size += 1\n", " self.size = min(self.size, self.max_size)\n", "\n", " def sample(self, batch_size=None):\n", " if batch_size == None:\n", " batch_size = self.batch_size\n", "\n", " idxs = np.random.choice(\n", " self.size, batch_size, replace=False)\n", " experiences = np.vstack(self.ss_mem[idxs]), \\\n", " np.vstack(self.as_mem[idxs]), \\\n", " np.vstack(self.rs_mem[idxs]), \\\n", " np.vstack(self.ps_mem[idxs]), \\\n", " np.vstack(self.ds_mem[idxs])\n", " return experiences\n", "\n", " def __len__(self):\n", " return self.size" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "class FCDuelingQ(nn.Module):\n", " def __init__(self, \n", " input_dim, \n", " output_dim, \n", " hidden_dims=(32,32), \n", " activation_fc=F.relu):\n", " super(FCDuelingQ, self).__init__()\n", " self.activation_fc = activation_fc\n", "\n", " self.input_layer = nn.Linear(input_dim, hidden_dims[0])\n", " self.hidden_layers = nn.ModuleList()\n", " for i in range(len(hidden_dims)-1):\n", " hidden_layer = nn.Linear(hidden_dims[i], hidden_dims[i+1])\n", " self.hidden_layers.append(hidden_layer)\n", " self.output_value = nn.Linear(hidden_dims[-1], 1)\n", " self.output_layer = nn.Linear(hidden_dims[-1], output_dim)\n", "\n", " device = \"cpu\"\n", " if torch.cuda.is_available():\n", " device = \"cuda:0\"\n", " self.device = torch.device(device)\n", " self.to(self.device)\n", " \n", " def _format(self, state):\n", " x = state\n", " if not isinstance(x, torch.Tensor):\n", " x = torch.tensor(x, \n", " device=self.device, \n", " dtype=torch.float32)\n", " x = x.unsqueeze(0) \n", " return x\n", "\n", " def forward(self, state):\n", " x = self._format(state)\n", " x = self.activation_fc(self.input_layer(x))\n", " for hidden_layer in self.hidden_layers:\n", " x = self.activation_fc(hidden_layer(x))\n", " a = self.output_layer(x)\n", " v = self.output_value(x).expand_as(a)\n", " q = v + a - a.mean(1, keepdim=True).expand_as(a)\n", " return q\n", "\n", " def numpy_float_to_device(self, variable):\n", " variable = torch.from_numpy(variable).float().to(self.device)\n", " return variable\n", "\n", " def load(self, experiences):\n", " states, actions, new_states, rewards, is_terminals = experiences\n", " states = torch.from_numpy(states).float().to(self.device)\n", " actions = torch.from_numpy(actions).long().to(self.device)\n", " new_states = torch.from_numpy(new_states).float().to(self.device)\n", " rewards = torch.from_numpy(rewards).float().to(self.device)\n", " is_terminals = torch.from_numpy(is_terminals).float().to(self.device)\n", " return states, actions, new_states, rewards, is_terminals" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "class DuelingDDQN():\n", " def __init__(self, \n", " replay_buffer_fn, \n", " value_model_fn, \n", " value_optimizer_fn, \n", " value_optimizer_lr,\n", " max_gradient_norm,\n", " training_strategy_fn,\n", " evaluation_strategy_fn,\n", " n_warmup_batches,\n", " update_target_every_steps,\n", " tau):\n", " self.replay_buffer_fn = replay_buffer_fn\n", " self.value_model_fn = value_model_fn\n", " self.value_optimizer_fn = value_optimizer_fn\n", " self.value_optimizer_lr = value_optimizer_lr\n", " self.max_gradient_norm = max_gradient_norm\n", " self.training_strategy_fn = training_strategy_fn\n", " self.evaluation_strategy_fn = evaluation_strategy_fn\n", " self.n_warmup_batches = n_warmup_batches\n", " self.update_target_every_steps = update_target_every_steps\n", " self.tau = tau\n", "\n", " def optimize_model(self, experiences):\n", " states, actions, rewards, next_states, is_terminals = experiences\n", " batch_size = len(is_terminals)\n", "\n", " argmax_a_q_sp = self.online_model(next_states).max(1)[1]\n", " q_sp = self.target_model(next_states).detach()\n", " max_a_q_sp = q_sp[\n", " np.arange(batch_size), argmax_a_q_sp].unsqueeze(1)\n", " target_q_sa = rewards + (self.gamma * max_a_q_sp * (1 - is_terminals))\n", " q_sa = self.online_model(states).gather(1, actions)\n", "\n", " td_error = q_sa - target_q_sa\n", " value_loss = td_error.pow(2).mul(0.5).mean()\n", " self.value_optimizer.zero_grad()\n", " value_loss.backward() \n", " torch.nn.utils.clip_grad_norm_(self.online_model.parameters(), \n", " self.max_gradient_norm)\n", " self.value_optimizer.step()\n", "\n", " def interaction_step(self, state, env):\n", " action = self.training_strategy.select_action(self.online_model, state)\n", " new_state, reward, is_terminal, info = env.step(action)\n", " is_truncated = 'TimeLimit.truncated' in info and info['TimeLimit.truncated']\n", " is_failure = is_terminal and not is_truncated\n", " experience = (state, action, reward, new_state, float(is_failure))\n", " self.replay_buffer.store(experience)\n", " self.episode_reward[-1] += reward\n", " self.episode_timestep[-1] += 1\n", " self.episode_exploration[-1] += int(self.training_strategy.exploratory_action_taken)\n", " return new_state, is_terminal\n", " \n", " def update_network(self, tau=None):\n", " tau = self.tau if tau is None else tau\n", " for target, online in zip(self.target_model.parameters(), \n", " self.online_model.parameters()):\n", " target_ratio = (1.0 - self.tau) * target.data\n", " online_ratio = self.tau * online.data\n", " mixed_weights = target_ratio + online_ratio\n", " target.data.copy_(mixed_weights)\n", "\n", " def train(self, make_env_fn, make_env_kargs, seed, gamma, \n", " max_minutes, max_episodes, goal_mean_100_reward):\n", " training_start, last_debug_time = time.time(), float('-inf')\n", "\n", " self.checkpoint_dir = tempfile.mkdtemp()\n", " self.make_env_fn = make_env_fn\n", " self.make_env_kargs = make_env_kargs\n", " self.seed = seed\n", " self.gamma = gamma\n", " \n", " env = self.make_env_fn(**self.make_env_kargs, seed=self.seed)\n", " torch.manual_seed(self.seed) ; np.random.seed(self.seed) ; random.seed(self.seed)\n", " \n", " nS, nA = env.observation_space.shape[0], env.action_space.n\n", " self.episode_timestep = []\n", " self.episode_reward = []\n", " self.episode_seconds = []\n", " self.evaluation_scores = [] \n", " self.episode_exploration = []\n", " \n", " self.target_model = self.value_model_fn(nS, nA)\n", " self.online_model = self.value_model_fn(nS, nA)\n", " self.update_network(tau=1.0)\n", "\n", " self.value_optimizer = self.value_optimizer_fn(self.online_model, \n", " self.value_optimizer_lr)\n", "\n", " self.replay_buffer = self.replay_buffer_fn()\n", " self.training_strategy = training_strategy_fn()\n", " self.evaluation_strategy = evaluation_strategy_fn() \n", " \n", " result = np.empty((max_episodes, 5))\n", " result[:] = np.nan\n", " training_time = 0\n", " for episode in range(1, max_episodes + 1):\n", " episode_start = time.time()\n", " \n", " state, is_terminal = env.reset(), False\n", " self.episode_reward.append(0.0)\n", " self.episode_timestep.append(0.0)\n", " self.episode_exploration.append(0.0)\n", "\n", " for step in count():\n", " state, is_terminal = self.interaction_step(state, env)\n", " \n", " min_samples = self.replay_buffer.batch_size * self.n_warmup_batches\n", " if len(self.replay_buffer) > min_samples:\n", " experiences = self.replay_buffer.sample()\n", " experiences = self.online_model.load(experiences)\n", " self.optimize_model(experiences)\n", " \n", " if np.sum(self.episode_timestep) % self.update_target_every_steps == 0:\n", " self.update_network()\n", "\n", " if is_terminal:\n", " gc.collect()\n", " break\n", " \n", " # stats\n", " episode_elapsed = time.time() - episode_start\n", " self.episode_seconds.append(episode_elapsed)\n", " training_time += episode_elapsed\n", " evaluation_score, _ = self.evaluate(self.online_model, env)\n", " self.save_checkpoint(episode-1, self.online_model)\n", " \n", " total_step = int(np.sum(self.episode_timestep))\n", " self.evaluation_scores.append(evaluation_score)\n", " \n", " mean_10_reward = np.mean(self.episode_reward[-10:])\n", " std_10_reward = np.std(self.episode_reward[-10:])\n", " mean_100_reward = np.mean(self.episode_reward[-100:])\n", " std_100_reward = np.std(self.episode_reward[-100:])\n", " mean_100_eval_score = np.mean(self.evaluation_scores[-100:])\n", " std_100_eval_score = np.std(self.evaluation_scores[-100:])\n", " lst_100_exp_rat = np.array(\n", " self.episode_exploration[-100:])/np.array(self.episode_timestep[-100:])\n", " mean_100_exp_rat = np.mean(lst_100_exp_rat)\n", " std_100_exp_rat = np.std(lst_100_exp_rat)\n", " \n", " wallclock_elapsed = time.time() - training_start\n", " result[episode-1] = total_step, mean_100_reward, \\\n", " mean_100_eval_score, training_time, wallclock_elapsed\n", " \n", " reached_debug_time = time.time() - last_debug_time >= LEAVE_PRINT_EVERY_N_SECS\n", " reached_max_minutes = wallclock_elapsed >= max_minutes * 60\n", " reached_max_episodes = episode >= max_episodes\n", " reached_goal_mean_reward = mean_100_eval_score >= goal_mean_100_reward\n", " training_is_over = reached_max_minutes or \\\n", " reached_max_episodes or \\\n", " reached_goal_mean_reward\n", "\n", " elapsed_str = time.strftime(\"%H:%M:%S\", time.gmtime(time.time() - training_start))\n", " debug_message = 'el {}, ep {:04}, ts {:06}, '\n", " debug_message += 'ar 10 {:05.1f}\\u00B1{:05.1f}, '\n", " debug_message += '100 {:05.1f}\\u00B1{:05.1f}, '\n", " debug_message += 'ex 100 {:02.1f}\\u00B1{:02.1f}, '\n", " debug_message += 'ev {:05.1f}\\u00B1{:05.1f}'\n", " debug_message = debug_message.format(\n", " elapsed_str, episode-1, total_step, mean_10_reward, std_10_reward, \n", " mean_100_reward, std_100_reward, mean_100_exp_rat, std_100_exp_rat,\n", " mean_100_eval_score, std_100_eval_score)\n", " print(debug_message, end='\\r', flush=True)\n", " if reached_debug_time or training_is_over:\n", " print(ERASE_LINE + debug_message, flush=True)\n", " last_debug_time = time.time()\n", " if training_is_over:\n", " if reached_max_minutes: print(u'--> reached_max_minutes \\u2715')\n", " if reached_max_episodes: print(u'--> reached_max_episodes \\u2715')\n", " if reached_goal_mean_reward: print(u'--> reached_goal_mean_reward \\u2713')\n", " break\n", " \n", " final_eval_score, score_std = self.evaluate(self.online_model, env, n_episodes=100)\n", " wallclock_time = time.time() - training_start\n", " print('Training complete.')\n", " print('Final evaluation score {:.2f}\\u00B1{:.2f} in {:.2f}s training time,'\n", " ' {:.2f}s wall-clock time.\\n'.format(\n", " final_eval_score, score_std, training_time, wallclock_time))\n", " env.close() ; del env\n", " self.get_cleaned_checkpoints()\n", " return result, final_eval_score, training_time, wallclock_time\n", " \n", " def evaluate(self, eval_policy_model, eval_env, n_episodes=1):\n", " rs = []\n", " for _ in range(n_episodes):\n", " s, d = eval_env.reset(), False\n", " rs.append(0)\n", " for _ in count():\n", " a = self.evaluation_strategy.select_action(eval_policy_model, s)\n", " s, r, d, _ = eval_env.step(a)\n", " rs[-1] += r\n", " if d: break\n", " return np.mean(rs), np.std(rs)\n", "\n", " def get_cleaned_checkpoints(self, n_checkpoints=5):\n", " try: \n", " return self.checkpoint_paths\n", " except AttributeError:\n", " self.checkpoint_paths = {}\n", "\n", " paths = glob.glob(os.path.join(self.checkpoint_dir, '*.tar'))\n", " paths_dic = {int(path.split('.')[-2]):path for path in paths}\n", " last_ep = max(paths_dic.keys())\n", " # checkpoint_idxs = np.geomspace(1, last_ep+1, n_checkpoints, endpoint=True, dtype=np.int)-1\n", " checkpoint_idxs = np.linspace(1, last_ep+1, n_checkpoints, endpoint=True, dtype=np.int)-1\n", "\n", " for idx, path in paths_dic.items():\n", " if idx in checkpoint_idxs:\n", " self.checkpoint_paths[idx] = path\n", " else:\n", " os.unlink(path)\n", "\n", " return self.checkpoint_paths\n", "\n", " def demo_last(self, title='Fully-trained {} Agent', n_episodes=3, max_n_videos=3):\n", " env = self.make_env_fn(**self.make_env_kargs, monitor_mode='evaluation', render=True, record=True)\n", "\n", " checkpoint_paths = self.get_cleaned_checkpoints()\n", " last_ep = max(checkpoint_paths.keys())\n", " self.online_model.load_state_dict(torch.load(checkpoint_paths[last_ep]))\n", "\n", " self.evaluate(self.online_model, env, n_episodes=n_episodes)\n", " env.close()\n", " data = get_gif_html(env_videos=env.videos, \n", " title=title.format(self.__class__.__name__),\n", " max_n_videos=max_n_videos)\n", " del env\n", " return HTML(data=data)\n", "\n", " def demo_progression(self, title='{} Agent progression', max_n_videos=5):\n", " env = self.make_env_fn(**self.make_env_kargs, monitor_mode='evaluation', render=True, record=True)\n", "\n", " checkpoint_paths = self.get_cleaned_checkpoints()\n", " for i in sorted(checkpoint_paths.keys()):\n", " self.online_model.load_state_dict(torch.load(checkpoint_paths[i]))\n", " self.evaluate(self.online_model, env, n_episodes=1)\n", "\n", " env.close()\n", " data = get_gif_html(env_videos=env.videos, \n", " title=title.format(self.__class__.__name__),\n", " subtitle_eps=sorted(checkpoint_paths.keys()),\n", " max_n_videos=max_n_videos)\n", " del env\n", " return HTML(data=data)\n", "\n", " def save_checkpoint(self, episode_idx, model):\n", " torch.save(model.state_dict(), \n", " os.path.join(self.checkpoint_dir, 'model.{}.tar'.format(episode_idx)))" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[2Kel 00:00:01, ep 0000, ts 000016, ar 10 016.0±000.0, 100 016.0±000.0, ex 100 0.3±0.0, ev 009.0±000.0\n", "\u001b[2Kel 00:01:02, ep 0131, ts 010190, ar 10 189.8±108.5, 100 092.9±081.8, ex 100 0.3±0.1, ev 324.9±096.6\n", "\u001b[2Kel 00:02:03, ep 0169, ts 022591, ar 10 458.9±101.1, 100 198.1±148.2, ex 100 0.2±0.1, ev 345.4±103.2\n", "\u001b[2Kel 00:03:05, ep 0195, ts 035136, ar 10 454.5±089.6, 100 304.9±166.0, ex 100 0.2±0.1, ev 393.3±111.0\n", "\u001b[2Kel 00:04:07, ep 0222, ts 046773, ar 10 459.3±081.5, 100 382.7±147.9, ex 100 0.2±0.0, ev 441.4±097.0\n", "\u001b[2Kel 00:04:51, ep 0240, ts 055065, ar 10 453.6±070.4, 100 427.2±120.0, ex 100 0.2±0.0, ev 476.1±063.8\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 253.77s training time, 311.37s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000034, ar 10 034.0±000.0, 100 034.0±000.0, ex 100 0.6±0.0, ev 008.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0147, ts 010996, ar 10 184.9±072.3, 100 096.4±085.5, ex 100 0.3±0.1, ev 253.6±099.4\n", "\u001b[2Kel 00:02:01, ep 0195, ts 023123, ar 10 356.0±103.3, 100 196.7±106.2, ex 100 0.2±0.1, ev 316.2±113.4\n", "\u001b[2Kel 00:03:01, ep 0220, ts 035234, ar 10 500.0±000.0, 100 296.7±138.3, ex 100 0.2±0.0, ev 377.4±119.4\n", "\u001b[2Kel 00:04:03, ep 0245, ts 047149, ar 10 449.1±104.8, 100 365.6±139.9, ex 100 0.2±0.0, ev 424.7±110.8\n", "\u001b[2Kel 00:05:04, ep 0268, ts 058543, ar 10 489.4±031.8, 100 431.8±114.2, ex 100 0.2±0.0, ev 471.2±071.3\n", "\u001b[2Kel 00:05:12, ep 0271, ts 060043, ar 10 489.4±031.8, 100 439.6±109.5, ex 100 0.2±0.0, ev 477.1±063.8\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 277.92s training time, 332.44s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000012, ar 10 012.0±000.0, 100 012.0±000.0, ex 100 0.4±0.0, ev 009.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0149, ts 011372, ar 10 231.7±040.8, 100 100.6±085.6, ex 100 0.3±0.1, ev 224.6±095.8\n", "\u001b[2Kel 00:02:01, ep 0186, ts 023906, ar 10 455.9±082.6, 100 214.8±147.6, ex 100 0.2±0.1, ev 309.1±132.2\n", "\u001b[2Kel 00:03:01, ep 0214, ts 035806, ar 10 494.5±016.5, 100 308.9±158.8, ex 100 0.2±0.1, ev 395.0±124.4\n", "\u001b[2Kel 00:04:03, ep 0241, ts 047454, ar 10 398.6±156.7, 100 379.9±146.5, ex 100 0.2±0.0, ev 449.2±103.6\n", "\u001b[2Kel 00:04:34, ep 0254, ts 053255, ar 10 456.3±131.1, 100 410.7±138.4, ex 100 0.2±0.0, ev 475.5±078.4\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 243.35s training time, 294.46s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000012, ar 10 012.0±000.0, 100 012.0±000.0, ex 100 0.2±0.0, ev 011.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0129, ts 011756, ar 10 233.4±107.3, 100 110.2±091.5, ex 100 0.3±0.1, ev 267.4±102.5\n", "\u001b[2Kel 00:02:01, ep 0172, ts 024414, ar 10 349.2±138.0, 100 217.6±123.4, ex 100 0.2±0.1, ev 347.5±100.8\n", "\u001b[2Kel 00:03:03, ep 0199, ts 036949, ar 10 500.0±000.0, 100 314.9±145.4, ex 100 0.2±0.0, ev 403.5±104.8\n", "\u001b[2Kel 00:04:04, ep 0225, ts 048902, ar 10 497.8±006.6, 100 381.8±140.5, ex 100 0.2±0.0, ev 450.1±087.1\n", "\u001b[2Kel 00:04:38, ep 0239, ts 055370, ar 10 446.8±108.6, 100 407.1±135.9, ex 100 0.2±0.0, ev 475.0±062.6\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 247.27s training time, 298.50s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000039, ar 10 039.0±000.0, 100 039.0±000.0, ex 100 0.4±0.0, ev 038.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0142, ts 011535, ar 10 184.4±054.1, 100 102.8±083.3, ex 100 0.3±0.1, ev 255.2±095.3\n", "\u001b[2Kel 00:02:02, ep 0180, ts 024393, ar 10 485.7±042.9, 100 215.3±148.5, ex 100 0.2±0.1, ev 322.0±119.7\n", "\u001b[2Kel 00:03:03, ep 0206, ts 036765, ar 10 457.3±085.5, 100 313.3±162.8, ex 100 0.2±0.1, ev 386.2±124.2\n", "\u001b[2Kel 00:04:05, ep 0232, ts 048735, ar 10 439.3±113.1, 100 390.4±143.2, ex 100 0.2±0.0, ev 436.3±105.9\n", "\u001b[2Kel 00:04:52, ep 0253, ts 057655, ar 10 422.1±155.8, 100 440.0±113.5, ex 100 0.2±0.0, ev 477.1±071.1\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 259.97s training time, 311.73s wall-clock time.\n", "\n" ] } ], "source": [ "dueling_ddqn_results = []\n", "dueling_ddqn_agents, best_dueling_ddqn_agent_key, best_eval_score = {}, None, float('-inf')\n", "for seed in SEEDS:\n", " environment_settings = {\n", " 'env_name': 'CartPole-v1',\n", " 'gamma': 1.00,\n", " 'max_minutes': 20,\n", " 'max_episodes': 10000,\n", " 'goal_mean_100_reward': 475\n", " }\n", " \n", " # value_model_fn = lambda nS, nA: FCQ(nS, nA, hidden_dims=(512,128))\n", " value_model_fn = lambda nS, nA: FCDuelingQ(nS, nA, hidden_dims=(512,128))\n", " value_optimizer_fn = lambda net, lr: optim.RMSprop(net.parameters(), lr=lr)\n", " value_optimizer_lr = 0.0005\n", " max_gradient_norm = float('inf')\n", "\n", " training_strategy_fn = lambda: EGreedyExpStrategy(init_epsilon=1.0, \n", " min_epsilon=0.3, \n", " decay_steps=20000)\n", " evaluation_strategy_fn = lambda: GreedyStrategy()\n", "\n", " replay_buffer_fn = lambda: ReplayBuffer(max_size=50000, batch_size=64)\n", " n_warmup_batches = 5\n", " update_target_every_steps = 1\n", " tau = 0.1\n", "\n", " env_name, gamma, max_minutes, \\\n", " max_episodes, goal_mean_100_reward = environment_settings.values()\n", " agent = DuelingDDQN(replay_buffer_fn,\n", " value_model_fn,\n", " value_optimizer_fn,\n", " value_optimizer_lr,\n", " max_gradient_norm,\n", " training_strategy_fn,\n", " evaluation_strategy_fn,\n", " n_warmup_batches,\n", " update_target_every_steps,\n", " tau)\n", "\n", " make_env_fn, make_env_kargs = get_make_env_fn(env_name=env_name)\n", " result, final_eval_score, training_time, wallclock_time = agent.train(\n", " make_env_fn, make_env_kargs, seed, gamma, max_minutes, max_episodes, goal_mean_100_reward)\n", " dueling_ddqn_results.append(result)\n", " dueling_ddqn_agents[seed] = agent\n", " if final_eval_score > best_eval_score:\n", " best_eval_score = final_eval_score\n", " best_dueling_ddqn_agent_key = seed\n", "dueling_ddqn_results = np.array(dueling_ddqn_results)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

DuelingDDQN Agent progression

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Episode 0

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Episode 60

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Episode 120

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Episode 180

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Episode 240

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Fully-trained DuelingDDQN Agent

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Trial 0

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Trial 1

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Trial 2

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np.load(os.path.join(ddqn_root_dir, 'mean_t.npy'))\n", "\n", "ddqn_max_sec = np.load(os.path.join(ddqn_root_dir, 'max_sec.npy'))\n", "ddqn_min_sec = np.load(os.path.join(ddqn_root_dir, 'min_sec.npy'))\n", "ddqn_mean_sec = np.load(os.path.join(ddqn_root_dir, 'mean_sec.npy'))\n", "\n", "ddqn_max_rt = np.load(os.path.join(ddqn_root_dir, 'max_rt.npy'))\n", "ddqn_min_rt = np.load(os.path.join(ddqn_root_dir, 'min_rt.npy'))\n", "ddqn_mean_rt = np.load(os.path.join(ddqn_root_dir, 'mean_rt.npy'))" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "dueling_ddqn_max_t, dueling_ddqn_max_r, dueling_ddqn_max_s, \\\n", "dueling_ddqn_max_sec, dueling_ddqn_max_rt = np.max(dueling_ddqn_results, axis=0).T\n", "dueling_ddqn_min_t, dueling_ddqn_min_r, dueling_ddqn_min_s, \\\n", "dueling_ddqn_min_sec, dueling_ddqn_min_rt = np.min(dueling_ddqn_results, axis=0).T\n", "dueling_ddqn_mean_t, dueling_ddqn_mean_r, dueling_ddqn_mean_s, \\\n", "dueling_ddqn_mean_sec, dueling_ddqn_mean_rt = np.mean(dueling_ddqn_results, axis=0).T\n", "dueling_ddqn_x = np.arange(np.max(\n", " (len(dueling_ddqn_mean_s), len(ddqn_mean_s))))" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(5, 1, figsize=(15,30), sharey=False, sharex=True)\n", "\n", "# DDQN\n", "axs[0].plot(ddqn_max_r, 'g', linewidth=1)\n", "axs[0].plot(ddqn_min_r, 'g', linewidth=1)\n", "axs[0].plot(ddqn_mean_r, 'g-.', label='DDQN', linewidth=2)\n", "axs[0].fill_between(ddqn_x, ddqn_min_r, ddqn_max_r, facecolor='g', alpha=0.3)\n", "\n", "axs[1].plot(ddqn_max_s, 'g', linewidth=1)\n", "axs[1].plot(ddqn_min_s, 'g', linewidth=1)\n", "axs[1].plot(ddqn_mean_s, 'g-.', label='DDQN', linewidth=2)\n", "axs[1].fill_between(ddqn_x, ddqn_min_s, ddqn_max_s, facecolor='g', alpha=0.3)\n", "\n", "axs[2].plot(ddqn_max_t, 'g', linewidth=1)\n", "axs[2].plot(ddqn_min_t, 'g', linewidth=1)\n", "axs[2].plot(ddqn_mean_t, 'g-.', label='DDQN', linewidth=2)\n", "axs[2].fill_between(ddqn_x, ddqn_min_t, ddqn_max_t, facecolor='g', alpha=0.3)\n", "\n", "axs[3].plot(ddqn_max_sec, 'g', linewidth=1)\n", "axs[3].plot(ddqn_min_sec, 'g', linewidth=1)\n", "axs[3].plot(ddqn_mean_sec, 'g-.', label='DDQN', linewidth=2)\n", "axs[3].fill_between(ddqn_x, ddqn_min_sec, ddqn_max_sec, facecolor='g', alpha=0.3)\n", "\n", "axs[4].plot(ddqn_max_rt, 'g', linewidth=1)\n", "axs[4].plot(ddqn_min_rt, 'g', linewidth=1)\n", "axs[4].plot(ddqn_mean_rt, 'g-.', label='DDQN', linewidth=2)\n", "axs[4].fill_between(ddqn_x, ddqn_min_rt, ddqn_max_rt, facecolor='g', alpha=0.3)\n", "\n", "# Dueling DDQN\n", "axs[0].plot(dueling_ddqn_max_r, 'r', linewidth=1)\n", "axs[0].plot(dueling_ddqn_min_r, 'r', linewidth=1)\n", "axs[0].plot(dueling_ddqn_mean_r, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[0].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_r, dueling_ddqn_max_r, facecolor='r', alpha=0.3)\n", "\n", "axs[1].plot(dueling_ddqn_max_s, 'r', linewidth=1)\n", "axs[1].plot(dueling_ddqn_min_s, 'r', linewidth=1)\n", "axs[1].plot(dueling_ddqn_mean_s, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[1].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_s, dueling_ddqn_max_s, facecolor='r', alpha=0.3)\n", "\n", "axs[2].plot(dueling_ddqn_max_t, 'r', linewidth=1)\n", "axs[2].plot(dueling_ddqn_min_t, 'r', linewidth=1)\n", "axs[2].plot(dueling_ddqn_mean_t, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[2].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_t, dueling_ddqn_max_t, facecolor='r', alpha=0.3)\n", "\n", "axs[3].plot(dueling_ddqn_max_sec, 'r', linewidth=1)\n", "axs[3].plot(dueling_ddqn_min_sec, 'r', linewidth=1)\n", "axs[3].plot(dueling_ddqn_mean_sec, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[3].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_sec, dueling_ddqn_max_sec, facecolor='r', alpha=0.3)\n", "\n", "axs[4].plot(dueling_ddqn_max_rt, 'r', linewidth=1)\n", "axs[4].plot(dueling_ddqn_min_rt, 'r', linewidth=1)\n", "axs[4].plot(dueling_ddqn_mean_rt, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[4].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_rt, dueling_ddqn_max_rt, facecolor='r', alpha=0.3)\n", "\n", "# ALL\n", "axs[0].set_title('Moving Avg Reward (Training)')\n", "axs[1].set_title('Moving Avg Reward (Evaluation)')\n", "axs[2].set_title('Total Steps')\n", "axs[3].set_title('Training Time')\n", "axs[4].set_title('Wall-clock Time')\n", "plt.xlabel('Episodes')\n", "axs[0].legend(loc='upper left')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "dueling_ddqn_root_dir = os.path.join(RESULTS_DIR, 'dueling_ddqn')\n", "not os.path.exists(dueling_ddqn_root_dir) and os.makedirs(dueling_ddqn_root_dir)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'x'), dueling_ddqn_x)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'max_r'), dueling_ddqn_max_r)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'min_r'), dueling_ddqn_min_r)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'mean_r'), dueling_ddqn_mean_r)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'max_s'), dueling_ddqn_max_s)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'min_s'), dueling_ddqn_min_s )\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'mean_s'), dueling_ddqn_mean_s)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'max_t'), dueling_ddqn_max_t)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'min_t'), dueling_ddqn_min_t)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'mean_t'), dueling_ddqn_mean_t)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'max_sec'), dueling_ddqn_max_sec)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'min_sec'), dueling_ddqn_min_sec)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'mean_sec'), dueling_ddqn_mean_sec)\n", "\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'max_rt'), dueling_ddqn_max_rt)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'min_rt'), dueling_ddqn_min_rt)\n", "np.save(os.path.join(dueling_ddqn_root_dir, 'mean_rt'), dueling_ddqn_mean_rt)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0.02078762 -0.01301236 -0.0209893 -0.03935255]\n" ] } ], "source": [ "env = make_env_fn(**make_env_kargs, seed=123, monitor_mode='evaluation')\n", "state = env.reset()\n", "img = env.render(mode='rgb_array')\n", "env.close()\n", "del env\n", "print(state)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(img)\n", "plt.axis('off')\n", "plt.title(\"State s=\" + str(np.round(state,2)))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1850956.5 1843644. ]\n" ] } ], "source": [ "q_values = dueling_ddqn_agents[best_dueling_ddqn_agent_key].online_model(state).detach().cpu().numpy()[0]\n", "print(q_values)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "q_s = q_values\n", "v_s = q_values.mean()\n", "a_s = q_values - q_values.mean()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar(('Left (idx=0)','Right (idx=1)'), q_s)\n", "plt.xlabel('Action')\n", "plt.ylabel('Estimate')\n", "plt.title(\"Action-value function, Q(\" + str(np.round(state,2)) + \")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar('s='+str(np.round(state,2)), v_s, width=0.1)\n", "plt.xlabel('State')\n", "plt.ylabel('Estimate')\n", "plt.title(\"State-value function, V(\"+str(np.round(state,2))+\")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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3nuLi4jRhwgQ98sgjatCgQZb7mB0pP3A99NBDprSRloiICGNESsOGDTMs6+npaXyd3oz4GUlZJ7ttZee9YWMbSVS6dGnT75Zm99xOnjyp6OhoxcfHZztgsrVVr169DB/NqlGjhipUqKC4uLgcfb/yGu/F3FGY34vh4eGaNWuWJGn27NmprhPM0KBBA6Nve/fu1fPPP296mwChA1BM/fHHH8ZQ7L59+9rte/LJJxUcHKy///5bO3bsUOfOnVPVv3Hjhl577TVJt4d+btq0SY0bNzb2P/zww3rsscfUpUsXnTx5Ms0+VKxY0Rgl8e233yohIUEODg6pyt26dUvffPONpNvDQu/84NapUyc98cQTqeref//96tKli55//nl169ZN//vf//TOO+9kGDpcvHhRN27c0JYtW4wgRpIeeOABderUSc2bN9fFixe1YMECuw+oNWvWVM2aNY0+ODg4GDOBp2fevHnGXZeUvL291bNnTz3zzDPq1auXwsPDtWrVqlQfiP/++28jKKhdu7a2bdsmFxcXY3+rVq3UuXNn9ejRw+6u051+/vlnY6nGMWPG6K233rK7M/XAAw/I399fEydO1AcffGAEGR4eHhmen03p0qWN1yI7r09uyen31Gbo0KGKi4uTxWLR3LlzUy239tBDD+nxxx/XlClTjA8Qjo6OatSokX7++WejXP369XN08S7d/oD+wgsvGIHD+vXr9e9//9uuD7169VLXrl31+++/a+7cuerdu3eqR3psfvnlFzVp0kQbNmywe5zjoYce0oMPPqju3bsrKSlJS5YsMd5jue3XX381wrC8nMjv7Nmzxteurq4Zlq1Vq5bx9ZkzZwp0W5s2bTIeievYsaMxB4BZbOfm6OiY6SNBtnOzWq06e/as3YfazNhG4EiZv4bS7d/FcXFxOXoN8xrvxdxRWN+LVqtVY8aMUWJiop566qlUS1yaxWKxqGnTptqzZ48OHz6cJ20CPF4BFFNBQUGS0h450KlTJ1WpUkVS+o9YfPvtt8ZKBC+++KJd4GDzr3/9S6+88kqG/bA9YnH16tV01w3fuXOnzp8/b1c+pZQf9tNSsWJFjRs3TtLtYY6ZTWoVGBho9+HUpkqVKsZzmkeOHEl3fe6sSitwSKl9+/bGc+5pPX/61VdfGY/HTJkyxS5wsGnevLmGDBmSYTvvv/++kpOT1ahRo1SBQ0oTJkxQjRo1lJycXOgmGs3p9/T777837sYPHDgww/Xdy5cvn+kFb06FhIQYF66jR4+2CxxsKleurPfff1/S7eeoFyxYkOEx582bl2Z/fXx85O3tLUk5nscjK1JeiGd1ebjckHKelMzucqbcn9X5VfKjrUuXLhmz9ZcsWdL4fWcmWx+zcqc4ZZn4+PgctZPdtrLbTn7gvZg7Cut78fPPP9f+/ftVuXLlbI0ezA2237lnzpzJ0pxawN0idACKIavVqpUrV0qS2rZtqxo1atjtL126tHr16iXpdrhgm6AppZRzMGT0QSwgIEAWiyXd/Y8++qgqV64s6f8eobiTbfs999yj7t27p3ssm/j4eEVFRenYsWM6evSojh49qtKlSxv7f/vttwzrZzSLfrNmzSTdfg2joqIy7Ut2XLx4USdPnjT6fPToUWMJwbQm9bR9DypUqKBu3bqle9w7R7KklJSUZDzT2aNHjwyfvS1durTxYTcsLCzT8ylIcvo93bx5s/H1iBEjzOlcFuzcudP4Oq3RGDatWrUyHodIWedOjRo1UtOmTdPdb3tNzJwAznbHUJIqVapkWjt3SvmoUcrfC2lJ+Yy9LeDLaVuZDZtOuT87bd28eVMDBw40QpzXX389w+9tbrGdW1aGg6csk9mjXum1I2X+/UrZVnbbyQ+8F3NHYXwvnjt3ThMnTpR0e6lM242evGL7nXvr1i1dvHgxT9tG8cTjFUAxtHv3bv3555+SZKxWcacnn3xSCxYs0PXr1xUcHKwBAwbY7T969Kik288t3hlapHTvvffKzc0t3Q/opUuX1n/+8x8tXrxYO3bs0MWLF40P2pKUkJBgjIDo1q2bnJyc0jzOpUuXNG/ePK1fv14nT57McFLAjEY63HvvvRn+8U95Zzgnd5vudODAAX366af6/vvv9c8//6RbLuUHNJtjx45Juj0nR0YXQI0bN1bZsmWNScRSOn78uBISEiTdntfB9phFZmwjTwqDu/me2ibhrFq1apYfJzGD7Xtdo0YNu6HPafH29tbvv/+uP//8U1euXEnzZyazeRpsr0luvMfTk/LnsGLFiqa1c6d77rnH+DopKSnDsil/ZtKaUyU7bWX0iNOd+7PaltVq1YgRI7Rr1y5Jkq+vr3GXOScuXLiQ7vJ+ZcqUsfsZsJ1bZud1Z5mUr0lWZOf7lbKt7LaTm2x/H9NSs2ZN4+eL92L6ivp78dVXX1VcXJxatWqV4Y0bs6QMem3XAICZCB2AYsg2NN7BwUE9evRIs4y3t7c8PDwUERGhr776KlXoYPuAnDIgSE+1atUyHBXQp08fLV68WDdv3tQ333yj5557ztgXEhJifPBJ72714cOH1atXryyvBZ7R3Y3MLkJSjgS421Ucpk+fnuUP+Wn12TYCJbM7JCVLlpSzs7OxfGZKOb3DUZguUu7me2oLe9J6dCUvZefnLWVf//nnnzRDh6y+JllZBSOnUo6ASisQM0v58uWNrzMbXp1yf8p6BaWt1157zRgJ1q5dOy1evPiuVgpYuHBhur+TateubTdKzNbHrAxRT1kmuxP3Zec1TFkmr1ZDSUurVq3S3Tdv3jzjQybvxfQV5ffixo0btWHDBpUpU0Zz5szJcDSoWVJeU2Q0ISaQW3iXAcVMfHy8sc50QkJCpndNJSk0NFR//PGH3QzUtpEEWfljmdnyki1atFDdunUVGRmp1atX24UOtouYKlWqqGPHjqnq3rhxQwMGDNDly5dVunRpDR06VN26dZOHh4ecnZ2NIamRkZF64IEHstSfvPDDDz8YF1R169bV6NGj1aJFC9WqVUvly5c3VgyZOnWq3n333QyPdTcXLCk/ZP/3v/9V165ds1QvL2bYLkjy46IwLbnx81ZQpBzdkNEon9xWs2ZN4+vMJsmLjo42vs7KxHGZtWV7bCU32nrrrbeMeTuaN2+uoKCgDJdczG22c4uPj1dMTEyG85nYzs1isdi9JllRtmxZValSRZcuXcrSpIa2SQVz8v3Ka7wXc0dhey/OmTNH0u2bO0eOHNGRI0dS1U15o2bz5s1G4Ozn55elRzsyk/J3bl6ONEPxRegAFDPr16/P0ZDpr776ylgeU/q/oXnpDX9MKStlnnjiCb333nsKCwtTZGSk6tatq4sXLxrPpffq1SvNNH7Xrl3Gc+ezZs1K93n3vPxQkxVLly6VdHsY+7Zt29K9g53WfBo2ttELmY1WuHXrVrrHSTlK4saNG3m2okRGUt4dS05OTvduWV6MtrC9PufOnTO9rYxk5+ct5aMveTlXQnbVrl3b+Dqj93lu8/DwUKlSpXTz5s1Mlx4MDw83vs5sKb60pKxz4sSJDOekyU5bM2bMMCYNvf/++7Vq1apcubMfGBiowMDALJW989yaN2+eblnbudWqVStH/WzYsKH27dunP/74Qzdv3kz3zuxff/1lLG2bk+9Xbsnq+5n3YvqK8nvRNrJr3759xnLSGXn99deNryMjI3NlwmLbe9TJyYnQAXmCiSSBYsb2aEWVKlW0aNGiTP/ZJoFasWKF3R1U24fTv/76y1jFIi0XL17U6dOnM+1XyskObaMbvv76a2NW5fQerbA96y5JPXv2TPf4KZcuNFNW74gfP35cktSmTZsMh8xn1G8vLy9JtyeZzOj50v/973/pDl/38vIy7kht3749037nhZRDWDO6eP/9999N74ttKccLFy7YXYhnVW6NkPjXv/4l6fbPW2Z32GyrbdSuXTvdOVAKAtv7V5IiIiLyrN3SpUvroYcekiQdOnQow+fA9+zZY3zdokWLbLf14IMPGj9fma0EYmvL1dVVbm5u6Zb76KOPjGVM//Wvf+mbb77Jlw8NLVu2NL7O6NzOnj1rLJucsk5O2kpISNBPP/2UbrmU36+ctpWXeC/mDt6L2Wf7nWv72wKYjdABKEb+/PNP7d69W5LUvXt3Pf7445n+69evn1E35R/R9u3bG19ntHxiUFBQloZ7e3h4GMM9V69ebfffevXqpblEoGT/eEB6d76Tk5ONkQVms026ldmEVrYwJaO79b/88osOHTqU7v527dpJkuLi4tJdblS6HRil55577jG+lwcPHrT7HueXunXrGl9ndFFne3+YybZkqSTNnz8/2/VTTsKWlUnO0vPII48YX3/55Zfpljtw4IBxxzRlnYLIzc1N1apVk5Tx99kMtru8V65c0TfffJNmmatXrxr7GjVqlOkSt2kpX7688fP1ww8/pBvA7t+/3/gw1K1bt3TDqkWLFunNN9+UdHvJ3eDgYGP1n7zm4+Nj3HENCgpKd/6P5cuXG1/7+vrmqK2Ucw998cUX6Zaz/WyULFnS7me3IOO9ePcK23txz549iomJyfCf7dpLun0tYNueG6McYmNjjdDBFnoBZiN0AIqRlStXGgGAv79/lur4+fkZFx0pwwVfX19Vr15d0u3nE1OOOLA5ceKE3nvvvSz3zzaaITw8XGvXrjU+cPfu3TvdOinnmQgKCkqzzKRJk4xVCMxmm8QvMjIyw7DF1u8DBw7ojz/+SLX/4sWLGjZsWIZt9evXz7hz9eabb6a5okRYWJgWLlyY4XFeffVV4xGGoUOHZjrMd8uWLWk+g5pbmjdvbgxZnTt3bpoXkCtWrNDGjRtN64NNu3btjDDs888/T/c9Jv3f88QppZzU8dSpUznuh6+vr/Fc8IcffqjDhw+nKhMTE6MXX3xR0u0RFinnRslty5cvl7Ozs5ydnY07nTlh+xCU16HDM888Y1y8T548Oc3HVsaPH28Mjx49enSax8nK6zBmzBhJtwPSV155xQgcbeLj4/Xaa69Jun3nO72lWb/66itjNYDatWtr3bp1+TrBaenSpY3fUREREcZz6imFh4frgw8+kHQ7WE7vg16TJk2M1zEtDzzwgNq0aSPp9u/5tIakr1q1Sj/88IOk2yPnqlatmu1zyg+8F+8e78Xs+emnn4zrkw4dOuRzb1BcMKcDUIzY7nhXqlRJbdu2zVIdV1dXeXt76+DBg1q/fr3effddOTo6qkyZMpoxY4b69++vK1euqEuXLnrhhRfUpk0bWSwW7d271/jDX69evTQ/WN/piSee0JtvvqmbN2/qpZdeMran92iFJHXs2FFVq1bVhQsXNGXKFJ0+fVrdu3dXlSpV9Mcff2jp0qX64Ycf1KJFCx04cCBL53w3mjdvruXLl+vChQsaN26cnnzySVWoUEHS7RmibUNV+/Xrp82bNys+Pl6+vr568cUXjYkuw8LCNG/ePP399996+OGHFRYWlmZbNWrU0Ouvv67Jkyfr9OnTat++vV566SU99NBDSkxM1Pbt2zVv3jxVr15dCQkJunjxYpp3rby9vTVhwgRNnjxZZ8+eVfv27RUQEKCOHTuqRo0aunnzps6cOaMff/xR69evV2RkpFasWKH77rvPlNfw3nvvVa9evbRq1Sp9//336tOnj4YOHSoXFxf99ddf+uabb7Rq1ao8+55+9tln6tChg65cuaIRI0Zo3bp16t27t+rXry+r1arTp09rz549+vrrr7Vs2TLjglSSmjZtqnLlyun69euaOnWqSpcurdq1axshT40aNbK0bFvp0qX1wQcfqHfv3sZ7Zvjw4erYsaPKli2rn3/+We+//76xFO7o0aPVpEkTc16QXNSjRw+tWrVKFy5c0NGjR/NsThFnZ2dNnjxZY8aM0ZkzZ9SxY0e98soratKkiS5evKglS5Zo06ZNkqTWrVunu7RwVrRu3Vp9+vTRqlWrtHXrVvXo0UMjRoxQrVq1FB4ervfff99YYvHFF1+Uu7t7qmNs3LhRo0aNktVqlYODg9555x3FxcVleWlGs4waNUrffPONTpw4obffflsnT57Uk08+KUdHR4WFhem9997T1atXVbJkSc2cOfOuZsmfPn26unTpovj4eD3xxBN68cUX1a5dO928eVPffvutPvnkE0m3V0uaMGFCusfZv3+/3d+jlKsenTp1yu5uuHQ7oM/JahFZxXsxdxTG92J++f777yVJFSpUsPt7BZiJ0AEoJsLCwozhdN26dcvWH1w/Pz8dPHhQV69e1YYNG4z5F/z9/fX2229r4sSJiouL09tvv21Xz8HBQUuWLNGHH36YpdChatWqat++vbZt26bY2FhJt4f+ZTSU1NHRUZ988okCAgJ0/fp1LVmyREuWLLEr4+Pjo3fffTdPnqvs1auXZs+ercjISH388cf6+OOPjX0pl/ny9/dXQECAli9frr/++stuoijp9pDMadOmKSYmJt3QQZJeeukl/fnnn1qyZInOnj2rV1991W5/lSpVtHTpUj3zzDOS0l9z/eWXX1bFihU1YcIEXbt2TQsXLkx3hESJEiVMX45u2rRpOnz4sH7//Xdt27ZN27Zts9vfrl07zZgxI0fPNmeXp6enQkJC9PTTT+v06dPasmWLtmzZkqW6Tk5Oev755/XBBx/ol19+STXvyIYNG7J80depUyd99tlnGj16tOLj4/Xee++lOZLoueee01tvvZWlY+bU9evXja/vZkh1ly5dVKlSJf3zzz9avXq1Jk6cmBvdy5Jnn31W58+f17Rp03T69Gm98MILqco0b95cX3755V0t/Sfdfvb96tWr+vbbb7V//37t378/VZnBgwdr3LhxadYPCQkxHiVLSEgwllzMSMqlGc1Svnx5rVy5Uk8++aROnDihoKCgVKOBypUrp1mzZt31HdX77rtPS5cu1eDBgxUbG6tp06Zp2rRpdmVq1qypoKAg1ahRI93jLFu2LN1HAg8cOJAqyPTx8TE1dJB4L+aGwvhezA9Wq1Vff/21pNvzYKV3TQDkNh6vAIqJlBdZWX20Iq3yd16sjR49Wps2bVKPHj1UtWpVlS1bVrVr19bTTz+tnTt3qkuXLtlq6867OBmNcrDp2LGjdu7cqT59+qhGjRoqXbq07r33XrVu3VoffPCB1q9fLwcHh2z1I6fKly+v7777TsOGDVPDhg0zbHfevHn69NNP1bJlSzk5ORmv3ZNPPqnvvvtOw4cPz7Q9i8WiOXPmKCgoSB06dFClSpVUrlw51atXT88//7x27dqlZs2aGUNzbaMu0jJ48GD98ssvCgwMVMuWLXXvvfeqVKlScnBwkLu7ux577DFNnz5dv/32m+l3R+69915t3bpVY8eOVYMGDVSuXDlVrFhRDz/8sObMmaNvvvkmSyMEckvTpk118OBBzZ49Wx06dFC1atWM91mTJk00YMAArVu3Tq1bt05V96233tKHH36oli1bqlKlSsZyqDnRu3dvHTp0SKNGjVKjRo1SvW+2bNmid999964/mGTGFoQ5OzvrqaeeyvFxypQpY6w4s2bNmjxf7nPs2LHaunWr+vbtq9q1axtL4rVu3Voffvihvv3221xZAaRs2bIKCgrS559/rk6dOsnFxUVlypRRzZo15efnp2+++UazZs0qMEuzZkfdunX1/fffa8qUKfL29pazs7PKlSsnd3d3DR48WLt27cq1D5ydOnXSvn37NGbMGDVs2FCOjo6qUKGC7rvvPr3xxhvat2+fMWKssOG9ePd4L2Zu3759xrKhQ4YMyefeoDixxMTEFI4FvQEAOXLmzBk1btxY0u35ANJbVhTIqvvuu0/R0dEKDAxMNUonu86ePatmzZopMTFR33zzTZoTYA4fPlxfffWV3WghAMD/2b17tzHRZXqj6IYNG6YVK1bokUceSXfiUsAMxWqkw4oVK4zJYZYtW5ZmmdDQUPXu3Vt169ZVjRo11KpVK82fP99uhvw72e4w2pYW8vX11ebNm9Mtf+3aNU2bNk3e3t5ycXGRh4eHBgwYkOnkbQCQE7ahlNLt+RuAuxEZGano6GhVqFAh08lOs6JmzZoaMGCAJGnmzJkZlr1586aOHj1q/Ev5mAcAFDe2+XCOHj2qqKioDMtGRkZqzZo1kpTu4zOAWYpN6BAdHa3XXnstw+fyQkJC1K1bN+3bt0/du3fXkCFDlJSUpHHjxmnQoEFp1pkwYYJGjBihv//+W88++6z69Omjo0ePqm/fvvrss89SlU9MTFTPnj01c+ZMOTk5adiwYWrfvr02btyoRx55JMPl8QDgTteuXdNff/2V7v5ffvlF7777rqTbs3Ln1UR9KLr27t0rSXr++edVsWLFXDnm66+/LmdnZ+3fv9+Y5Cwtf/31l1q1amX8+/3333OlfQAojBYuXGj8Phw1alSGZd977z3dvHlTvXr1SncZcsAsxWIiSavVqpEjR6py5crq0aOHPvroo1Rl4uLi9MILL6hkyZLauHGjsUTa+PHj5efnp3Xr1unrr7/W448/btQJDQ3V3Llz5e7urp07dxoz844ePVrt27fXm2++qS5duqhOnTpGnXnz5unAgQPy9/fXkiVLjOdue/bsqYCAAI0aNUr79u0z/XlcAEXD5cuX9eCDD8rX11edOnWSp6enypQpo3Pnzmnbtm368ssvde3aNVksFk2dOjW/u4siICAgINcnhatcubIWLlyogwcPGvOPAAByx61bt1S3bl29/vrrPGKJfFEs5nT4+OOPNW7cOG3cuFG7du3SjBkzUj3X/MUXX2j06NHq27evsdSNzQ8//CB/f3+1atVK3377rbH9+eef18qVKzV37lw9/fTTdnWmTp2qd999V6+99poxhMlqtapJkyaKjo7W4cOHVbduXbs6jz32mPbv36/169dneTlDAMVbyvka0lO6dGnNmTMn1e8pAAAAwGxF/nb6iRMnNGnSJA0bNizNWcVtdu/eLen2bLR3at26tRwcHBQWFqbExMQs1encubNdGen2+s/R0dHy8PBIFTikrLNr164snBkASC4uLlq6dKmefvppNWrUyFhVoUKFCmrcuLFGjBihgwcPEjgAAAAgXxTpxytu3ryp559/XrVq1dJ///vfDMuGh4dLkjw8PFLtK1WqlOrUqaNjx44pMjJSDRs2VHx8vM6ePavy5curevXqqerUr19fkhQREZGqDdu+9OqcPHkyC2cHALd/P/n7+2d7GVQAAAAgLxTp0GHGjBn69ddftXnz5kzXc89sDXvb9tjY2ByVT1knvYm30qoDAAAAAEBhVWQfr/jxxx81e/ZsjRo1Sg8//PBdH89qvT31hcViyVa97JTPaRsA8p9tJBMAADAHf2uBwqlIhg62xyo8PDw0fvz4LNWxjTJIb9bsK1eu2JXLrHxaIyEyG8lwZxsAAAAAABRmRTJ0uHr1qiIiInTixAm5uLjI2dnZ+DdjxgxJ0pgxY+Ts7Kw33nhDkuTp6SnJfg4Gm5s3byoqKkqlSpUyJoB0dHRUzZo1dfXqVZ07dy5VHdu8DCnniLC1kd6cDbbt6c35AAAAAABAYVIk53QoW7asnnnmmTT3/fLLL/r111/VsmVLeXh4GI9etGnTRqtWrdK2bdv0xBNP2NXZu3evEhIS1KpVK5UtW9bY3qZNG61cuVLbtm1LNTP81q1bjTI27u7uqlWrliIiIhQZGZlqBQtbHZbLBAAAAAAUBZaYmBhrfnciL02fPl0zZszQhx9+qGeffdbYHhcXp2bNmunKlSvasmWLmjVrJkm6fv26/Pz8FBYWpkWLFunxxx836oSGhqpLly5yd3fXzp075ezsLEmKiopS+/btlZCQoLCwMNWpU8eoM3v2bE2ePFn+/v5asmSJSpS4PdgkJCREAQEB8vLy0r59+4ztAAqH8PBwYzQTAADIffytBQqnIjnSIScqVKigDz74QP3791f37t3Vq1cvVapUSZs2bVJ4eLj8/f3Vq1cvuzrNmzfXyJEjNW/ePLVu3Vp+fn5KSkrS2rVr9c8//2jmzJl2gYMkjRw5Ulu2bNG6devUsWNHtWvXTtHR0QoODpaDg4Pmzp1L4AAAAAAAKBIIHVLo3r27QkJCNGvWLK1fv16JiYmqV6+epk6dqmHDhqW5qsTUqVPVuHFjLViwQEuXLlWJEiXUtGlTjRkzRl27dk1VvmzZsgoODtacOXO0Zs0azZ8/X05OTvL19VVgYKC8vLzy4lQBAAAAADBdsXu8AgDMwJBPAADMxd9aoHBiHD8AAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADBFqfzuAIoe5yVn8rsLQD5wkPbw3kfxEjPQNb+7AAAACjhGOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMQOgAAAAAAAFMU6dBh4sSJ8vPzU+PGjVW9enXVrVtXbdq00TvvvKPLly+nWSc0NFS9e/dW3bp1VaNGDbVq1Urz58/XrVu30m0nKChIHTp0kKurq9zc3OTr66vNmzenW/7atWuaNm2avL295eLiIg8PDw0YMEAnTpy463MGAAAAAKCgsMTExFjzuxNmqVq1qu6//341bNhQVatWVXx8vA4dOqSff/5ZNWrU0NatW1WrVi2jfEhIiJ599lmVK1dOPXv2VKVKlbR582aFh4fL399fS5cuTdXGhAkTNHfuXLm6usrPz09JSUn6+uuv9c8//2jmzJkaOnSoXfnExET5+/vrwIEDatasmdq2baszZ84oODhYZcqU0fr16+Xt7W36a2Mm5yVn8rsLAIA8EDPQNb+7AKAYCQ8Pl6enZ353A0A2FenQ4fr16ypXrlyq7W+//bZmzZqlwYMHa9asWZKkuLg4Pfjgg4qLi9OWLVvUrFkz4xh+fn4KCwvTokWL9PjjjxvHCQ0NVZcuXeTu7q6dO3fK2dlZkhQVFaX27dsrISFBYWFhqlOnjlFn9uzZmjx5svz9/bVkyRKVKHF7sElISIgCAgLk5eWlffv2GdsLI0IHACgeCB0A5CVCB6BwKryfbLMgrcBBkv7zn/9Ikk6ePGlsW7dunS5evKhevXoZgYPtGOPHj5ckLVq0yO44ixcvliS98sorRuAgSXXq1NGQIUOUmJio5cuXG9utVqtRZ9KkSXbBgq+vr1q2bKnjx49rz549OThbAAAAAAAKliIdOqTHNt9C48aNjW27d++WJHXq1ClV+datW8vBwUFhYWFKTEzMUp3OnTvblZGkU6dOKTo6Wh4eHqpbt266dXbt2pXdUwIAAAAAoMApld8dyAsfffSRrl69qri4OB0+fFj79+9X48aN9dJLLxllwsPDJUkeHh6p6pcqVUp16tTRsWPHFBkZqYYNGyo+Pl5nz55V+fLlVb169VR16tevL0mKiIhI1YZtX3p1Uo7AAAAAAACgsCo2ocP58+eN/+/UqZPmz5+ve++919gWFxcnSapQoUKax7Btj42NzVH5lHUqVqyY5Tp3sgUXBZtDfncAAJAHCsffJABFCb93gIIns7lWikXo8Pvvv0uSzp8/r9DQUE2aNElt27bVihUr9MADD2TpGFbr7fk2LRZLttrOTvmstFEoJs/Zw0SSAFAcFIq/SQCKDCaSBAqnYjWnQ7Vq1dSjRw+tXbtWly9f1vDhw419tlEGttEId7py5YpduczKpzUSIrORDHe2AQAAAABAYVasQgcbNzc3NWzYUMeOHdOlS5ck/d/dmpRzMNjcvHlTUVFRKlWqlDEBpKOjo2rWrKmrV6/q3LlzqerY5mVIOUeErY305mywbU9vzgcAAAAAAAqTYhk6SDKCgpIlS0qS2rRpI0natm1bqrJ79+5VQkKCHn74YZUtW9bYnlGdrVu32pWRJHd3d9WqVUsRERGKjIxMt07btm1zckoAAAAAABQoRTZ0+P333/X333+n2p6cnKy3335bFy5cUPPmzeXs7CxJ8vf3V5UqVbR27Vr9/PPPRvnr169r6tSpkqTBgwfbHWvQoEGSpFmzZikmJsbYHhUVpYULF6ps2bIKCAgwtlssFqPOxIkTlZycbOwLCQnR/v375eXlJR8fn7s7eQAAAAAACoAiO5Hktm3b9N///letWrWSu7u7KleurPPnz2vv3r2KjIyUi4uLPvjgA6N8hQoV9MEHH6h///7q3r27evXqpUqVKmnTpk0KDw+Xv7+/evXqZddG8+bNNXLkSM2bN0+tW7eWn5+fkpKStHbtWv3zzz+aOXOm6tSpY1dn5MiR2rJli9atW6eOHTuqXbt2io6OVnBwsBwcHDR37lyVKFFksyAAAAAAQDFiiYmJseZ3J8xw9OhRLV68WAcOHNDZs2cVGxsrR0dH1a9fX48++qiGDRumSpUqpap34MABzZo1S2FhYUpMTFS9evUUEBCgYcOGGY9i3CkoKEgLFizQiRMnVKJECTVt2lRjxoxR165d0yx/7do1zZkzR2vWrFF0dLScnJzk4+OjwMBAeXl55errkB+cl7B6BQAUBzEDXfO7CwCKEVavAAqnIhs6IP8QOgBA8UDoACAvEToAhRPj+AEAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCkIHQAAAAAAgCmKZOhw+fJlLVu2TAEBAWrWrJmqV68uNzc3de3aVcuWLVNycnKa9UJDQ9W7d2/VrVtXNWrUUKtWrTR//nzdunUr3baCgoLUoUMHubq6ys3NTb6+vtq8eXO65a9du6Zp06bJ29tbLi4u8vDw0IABA3TixIm7Pm8AAAAAAAoSS0xMjDW/O5HbFi9erJdfflnVq1dXmzZtVKtWLZ0/f14bNmxQXFyc/Pz8tHTpUlksFqNOSEiInn32WZUrV049e/ZUpUqVtHnzZoWHh8vf319Lly5N1c6ECRM0d+5cubq6ys/PT0lJSfr666/1zz//aObMmRo6dKhd+cTERPn7++vAgQNq1qyZ2rZtqzNnzig4OFhlypTR+vXr5e3tbfrrYzbnJWfyuwsAgDwQM9A1v7sAoBgJDw+Xp6dnfncDQDYVydDhhx9+UEJCgrp06aISJf5vMMfff/+tjh07Kjo6WkuXLpW/v78kKS4uTg8++KDi4uK0ZcsWNWvWTJJ0/fp1+fn5KSwsTIsWLdLjjz9uHCs0NFRdunSRu7u7du7cKWdnZ0lSVFSU2rdvr4SEBIWFhalOnTpGndmzZ2vy5Mny9/fXkiVLjL6FhIQoICBAXl5e2rdvn12fCyNCBwAoHggdAOQlQgegcCrcn27T0a5dOz322GOpPry7uLho4MCBkqQ9e/YY29etW6eLFy+qV69eRuAgSeXKldP48eMlSYsWLbI71uLFiyVJr7zyihE4SFKdOnU0ZMgQJSYmavny5cZ2q9Vq1Jk0aZJd33x9fdWyZUsdP37crl8AAAAAABRmRTJ0yEjp0qUlSaVKlTK27d69W5LUqVOnVOVbt24tBwcHhYWFKTExMUt1OnfubFdGkk6dOqXo6Gh5eHiobt266dbZtWtXdk8JAAAAAIACqViFDjdv3tSKFSsk2YcF4eHhkiQPD49UdUqVKqU6dero5s2bioyMlCTFx8fr7NmzKl++vKpXr56qTv369SVJERERqdqw7UuvzsmTJ7N7WgAAAAAAFEilMi9SdLz11ls6evSoHn30UXXs2NHYHhcXJ0mqUKFCmvVs22NjY3NUPmWdihUrZrlOWmzhRcHmkN8dAADkgcLxNwlAUcLvHaDgyWyulWITOnzyySeaO3euGjRooE8//TRbda3W23NtplztIiuyUz6rbRSKyXP2MJEkABQHheJvEoAig4kkgcKpWDxesWDBAr3xxhvy8vLShg0bVKlSJbv9tlEGttEId7py5YpduczKpzUSIrORDHe2AQAAAABAYVfkQ4f58+fr1VdfVaNGjbRhwwa5uLikKmNLTFPOwWBz8+ZNRUVFqVSpUsYEkI6OjqpZs6auXr2qc+fOpapjm5ch5RwRtjbSm7PBtj29OR8AAAAAAChsinTo8P7772vcuHFq0qSJNmzYoKpVq6ZZrk2bNpKkbdu2pdq3d+9eJSQk6OGHH1bZsmWzVGfr1q12ZSTJ3d1dtWrVUkREhDEhZVp12rZtm8WzAwAAAACgYCuyocPMmTP11ltv6YEHHtD69etVpUqVdMv6+/urSpUqWrt2rX7++Wdj+/Xr1zV16lRJ0uDBg+3qDBo0SJI0a9YsxcTEGNujoqK0cOFClS1bVgEBAcZ2i8Vi1Jk4caKSk5ONfSEhIdq/f7+8vLzk4+OT85MGAAAAAKAAscTExFjzuxO5LSgoSCNGjFDJkiU1dOjQNOdJcHNzswsFNm7cqP79+6tcuXLq1auXKlWqpE2bNik8PFz+/v76/PPPU03yOH78eM2bN0+urq7y8/NTUlKS1q5dq8uXL2vmzJkaOnSoXfnExET5+fkpNDRUzZo1U7t27RQdHa3g4GCVKVNG69evl7e3tzkvSh5yXsJEkgBQHMQMdM3vLgAoRphIEiicimToMH36dM2YMSPDMq1bt1ZISIjdtgMHDmjWrFkKCwtTYmKi6tWrp4CAAA0bNkwlS5ZM8zhBQUFasGCBTpw4oRIlSqhp06YaM2aMunbtmmb5a9euac6cOVqzZo2io6Pl5OQkHx8fBQYGysvLK2cnXMAQOgBA8UDoACAvEToAhVORDB2QvwgdAKB4IHQAkJcIHYDCqcjO6QAAAAAAAPIXoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADAFoQMAAAAAADBFkQ0d1q1bp1dffVWPPfaYateuLWdnZw0dOjTDOqGhoerdu7fq1q2rGjVqqFWrVpo/f75u3bqVbp2goCB16NBBrq6ucnNzk6+vrzZv3pxu+WvXrmnatGny9vaWi4uLPDw8NGDAAJ04cSLH5woAAAAAQEFUZEOHd999VwsWLNBvv/2mGjVqZFo+JCRE3bp10759+9S9e3cNGTJESUlJGjdunAYNGpRmnQkTJmjEiBH6+++/9eyzz6pPnz46evSo+vbtq88++yxV+cTERPXs2VMzZ86Uk5OThg0bpvbt22vjxo165JFHdOjQobs+bwAAAAAACgpLTEyMNb87YYZdu3bJ1dVV9erV0549e9SjRw/16dMnzTAgLi5ODz74oOLi4rRlyxY1a9ZMknT9+nX5+fkpLCxMixYt0uOPP27UCQ0NVZcuXeTu7q6dO3fK2dlZkhQVFaX27dsrISFBYWFhqlOnjlFn9uzZmjx5svz9/bVkyRKVKHE78wkJCVFAQIC8vLy0b98+Y3th5bzkTH53AQCQB2IGuuZ3FwAUI+Hh4fL09MzvbgDIpsL96TYDbdu2Vf369WWxWDItu27dOl28eFG9evUyAgdJKleunMaPHy9JWrRokV2dxYsXS5JeeeUVI3CQpDp16mjIkCFKTEzU8uXLje1Wq9WoM2nSJLtgwdfXVy1bttTx48e1Z8+e7J8sAAAAAAAFUJENHbJj9+7dkqROnTql2te6dWs5ODgoLCxMiYmJWarTuXNnuzKSdOrUKUVHR8vDw0N169ZNt86uXbtyfiIAAAAAABQghA66PVRLkjw8PFLtK1WqlOrUqaObN28qMjJSkhQfH6+zZ8+qfPnyql69eqo69evXlyRFRESkasO2L706J0+ezPmJAAAAAABQgJTK7w4UBHFxcZKkChUqpLnftj02NjZH5VPWqVixYpbrpMUWXhRsDvndAQBAHigcf5MAFCX83gEKnszmWiF0yAKr9fZcm1mZHyKl7JTPahuFYvKcPUwkCQDFQaH4mwSgyGAiSaBw4vEK/d8oA9tohDtduXLFrlxm5dMaCZHZSIY72wAAAAAAoLAjdND/3alJOQeDzc2bNxUVFaVSpUoZE0A6OjqqZs2aunr1qs6dO5eqjm1ehpRzRNjaSG/OBtv29OZ8AAAAAACgsCF0kNSmTRtJ0rZt21Lt27t3rxISEvTwww+rbNmyWaqzdetWuzKS5O7urlq1aikiIsKYkDKtOm3bts35iQAAAAAAUIAQOkjy9/dXlSpVtHbtWv3888/G9uvXr2vq1KmSpMGDB9vVGTRokCRp1qxZiomJMbZHRUVp4cKFKlu2rAICAoztFovFqDNx4kQlJycb+0JCQrR//355eXnJx8cn188PAAAAAID8YImJibHmdyfMsHHjRoWEhEiSzp8/r+3bt6tu3bpq2bKlJKlKlSqaMmWKXfn+/furXLly6tWrlypVqqRNmzYpPDxc/v7++vzzz1NN8jh+/HjNmzdPrq6u8vPzU1JSktauXavLly9r5syZGjp0qF35xMRE+fn5KTQ0VM2aNVO7du0UHR2t4OBglSlTRuvXr5e3t7fJr4z5nJcwkSQAFAcxA13zuwsAihEmkgQKpyIbOkyfPl0zZsxId3/t2rX122+/2W07cOCAZs2apbCwMCUmJqpevXoKCAjQsGHDVLJkyTSPExQUpAULFujEiRMqUaKEmjZtqjFjxqhr165plr927ZrmzJmjNWvWKDo6Wk5OTvLx8VFgYKC8vLxyfsIFCKEDABQPhA4A8hKhA1A4FdnQAfmH0AEAigdCBwB5idABKJyY0wEAAAAAAJii1N0ewGq1asOGDfr+++915swZXbt2TevXrzf2x8fH6/Dhw7JYLGrVqtXdNgcAAAAAAAqJuwodTp48qWeeeUbHjx+X1Xr7KY07J1ssV66cxowZo1OnTmnHjh164IEH7qZJAAAAAABQSOT48YqYmBj5+/vr2LFjaty4scaPHy8nJ6dU5UqWLKnBgwcbIyIAAAAAAEDxkOPQYe7cuTpz5ow6d+6snTt3auzYsbrnnnvSLPvYY49Jkr7//vucNgcAAAAAAAqZHIcO3377rSwWi95++22VKpXxUxru7u4qW7as/vjjj5w2BwAAAAAACpkchw5RUVG655571LBhwyyVd3R01NWrV3PaHAAAAAAAKGRyHDpYLBbdunUrS2Vv3LihuLi4NOd8AAAAAAAARVOOQwc3NzfduHFDJ0+ezLTsd999p5s3b2Z5VAQAAAAAACj8chw6dOnSRVarVXPnzs2w3MWLF/Xmm2/KYrGoW7duOW0OAAAAAAAUMjkOHUaNGiVnZ2ctXbpU48aNU3R0tN3+CxcuaPHixWrbtq0iIyNVo0YNDRo06K47DAAAAAAACgdLTEyMNaeV9+/fr759++rKlSt2252dnRUTEyNJslqtqlSpktauXasHHnjgbvqKQsJ5yZn87gIAIA/EDHTN7y4AKEbCw8Pl6emZ390AkE05HukgSS1bttSePXv0xBNPqHTp0rJarbJarfrnn39ktVpVsmRJ9erVS99//z2BAwAAAAAAxcxdjXRI6fr16/r555/1999/Kzk5WVWrVlWzZs1Uvnz53Dg8ChFGOgBA8cBIBwB5iZEOQOFUKrcOVK5cObVs2TK3DgcAAAAAAAq5HD9eMXLkSI0bNy7L5f/73/9q1KhROW0OAAAAAAAUMjkOHYKCgrR27doslw8ODlZQUFBOmwMAAAAAAIXMXU0kmR1Wq1UWiyWvmgMAAAAAAPksT0KH5ORkXbx4UY6OjnnRHAAAAAAAKACyPJFkXFycYmNj7bbdunVL0dHRslrTXgDDarUqNjZWK1as0PXr13XffffdXW8BAAAAAEChkeXQYf78+Zo5c6bdtkuXLqlp06ZZbuzZZ5/Nes8AAAAAAEChluXQwWq12o1osFgs6Y5wSFnGyclJ//rXv/TMM88oICAg5z0FAAAAAACFiiUmJibj5CAdlSpVkouLi44fP57bfUIh57zkTH53AQCQB2IGuuZ3FwAUI+Hh4fL09MzvbgDIpiyPdLhT3759VbFixdzsCwAAAAAAKEJyHDp8/PHHudkPAAAAAABQxOTJkpkAAAAAAKD4yfFIh5T27dun0NBQ/fXXX0pISEh3gkmLxaK5c+fmRpMAAAAAAKCAu6vQ4ejRoxoyZEiqySRtoYPFYrHbRugAAAAAAEDxkePQ4dy5c/L399fFixfl5eWl9u3b65NPPlH58uU1bNgwXbhwQbt27dKpU6dUpUoVDRgwQKVK5crACgAAAAAAUAjkOAX46KOPdPHiRXXq1ElBQUEqXbq0PvnkEzk6Omr8+PFGuc8//1yvvvqqfv31V61cuTJXOg0AAAAAAAq+HE8kuX37dlksFk2YMEGlS5dOt9yAAQP05ptvatu2bVqwYEFOmwMAAAAAAIVMjkOHP//8UyVLllTTpk2NbRaLRYmJianKDhw4UCVKlNCKFSty2hwAAAAAAChkchw6lChRQg4ODnaTRZYvX15XrlzRrVu37Mo6OTnJyclJEREROe8pAAAAAAAoVHIcOtSoUUNXrlxRQkKCsa127dpKTk7WkSNH7MrGxsYqJiZGSUlJOe8pAAAAAAAoVHIcOnh5eUmSTp48aWxr1aqVrFZrqmUxp06dKklq2LBhTpsDAAAAAACFTI5Dh65du8pqtSo4ONjYNnToUJUuXVpff/21WrVqpeeee06tW7fWwoULZbFYNGjQoNzoMwAAAAAAKARyHDp069ZNo0aN0r333mts8/T01McffyxHR0cdO3ZMa9as0dGjRyVJI0aM0LPPPnv3PQYAAAAAAIWCJSYmxprbB7106ZK2bt2qs2fPqkKFCmrfvr08PDxyuxkUUM5LzuR3FwAAeSBmoGt+dwFAMRIeHi5PT8/87gaAbCplxkGrVKmivn37mnFoAAAAAABQSOT48QoAAAAAAIC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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar(('Left (idx=0)','Right (idx=1)'), a_s)\n", "plt.xlabel('Action')\n", "plt.ylabel('Estimate')\n", "plt.title(\"Advantage function, (\" + str(np.round(state,2)) + \")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "env = make_env_fn(**make_env_kargs, seed=123, monitor_mode='evaluation')\n", "\n", "state, states, imgs, t = env.reset(), [], [], False\n", "while not t:\n", " states.append(state)\n", " state, r, t, _ = env.step(0)\n", " imgs.append(env.render(mode='rgb_array'))\n", "\n", "env.close()\n", "del env" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([-0.09048686, -1.57504301, 0.13510693, 2.34025535])" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "states[-2]" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(imgs[-2])\n", "plt.axis('off')\n", "plt.title(\"State s=\" + str(np.round(state,2)))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[683447.06 838859.2 ]\n" ] } ], "source": [ "q_values = dueling_ddqn_agents[best_dueling_ddqn_agent_key].online_model(state).detach().cpu().numpy()[0]\n", "print(q_values)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "q_s = q_values\n", "v_s = q_values.mean()\n", "a_s = q_values - q_values.mean()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar(('Left (idx=0)','Right (idx=1)'), q_s)\n", "plt.xlabel('Action')\n", "plt.ylabel('Estimate')\n", "plt.title(\"Action-value function, Q(\" + str(np.round(state,2)) + \")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar('s='+str(np.round(state,2)), v_s, width=0.1)\n", "plt.xlabel('State')\n", "plt.ylabel('Estimate')\n", "plt.title(\"State-value function, V(\"+str(np.round(state,2))+\")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.bar(('Left (idx=0)','Right (idx=1)'), a_s)\n", "plt.xlabel('Action')\n", "plt.ylabel('Estimate')\n", "plt.title(\"Advantage function, (\" + str(np.round(state,2)) + \")\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "env = make_env_fn(**make_env_kargs, seed=123, monitor_mode='evaluation')\n", "\n", "states = []\n", "for agent in dueling_ddqn_agents.values():\n", " for episode in range(100):\n", " state, done = env.reset(), False\n", " while not done:\n", " states.append(state)\n", " action = agent.evaluation_strategy.select_action(agent.online_model, state)\n", " state, _, done, _ = env.step(action)\n", "env.close()\n", "del env\n", "\n", "x = np.array(states)[:,0]\n", "xd = np.array(states)[:,1]\n", "a = np.array(states)[:,2]\n", "ad = np.array(states)[:,3]" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "parts = plt.violinplot((x, xd, a, ad), \n", " vert=False, showmeans=False, showmedians=False, showextrema=False)\n", "\n", "colors = ['red','green','yellow','blue']\n", "for i, pc in enumerate(parts['bodies']):\n", " pc.set_facecolor(colors[i])\n", " pc.set_edgecolor(colors[i])\n", " pc.set_alpha(0.5)\n", "\n", "plt.yticks(range(1,5), [\"cart position\", \"cart velocity\", \"pole angle\", \"pole velocity\"])\n", "plt.yticks(rotation=45)\n", "plt.title('Range of state-variable values for ' + str(\n", " dueling_ddqn_agents[best_dueling_ddqn_agent_key].__class__.__name__))\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Prioritized Experience Replay (PER)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "class PrioritizedReplayBuffer():\n", " def __init__(self, \n", " max_samples=10000, \n", " batch_size=64, \n", " rank_based=False,\n", " alpha=0.6, \n", " beta0=0.1, \n", " beta_rate=0.99992):\n", " self.max_samples = max_samples\n", " self.memory = np.empty(shape=(self.max_samples, 2), dtype=np.ndarray)\n", " self.batch_size = batch_size\n", " self.n_entries = 0\n", " self.next_index = 0\n", " self.td_error_index = 0\n", " self.sample_index = 1\n", " self.rank_based = rank_based # if not rank_based, then proportional\n", " self.alpha = alpha # how much prioritization to use 0 is uniform (no priority), 1 is full priority\n", " self.beta = beta0 # bias correction 0 is no correction 1 is full correction\n", " self.beta0 = beta0 # beta0 is just beta's initial value\n", " self.beta_rate = beta_rate\n", "\n", " def update(self, idxs, td_errors):\n", " self.memory[idxs, self.td_error_index] = np.abs(td_errors)\n", " if self.rank_based:\n", " sorted_arg = self.memory[:self.n_entries, self.td_error_index].argsort()[::-1]\n", " self.memory[:self.n_entries] = self.memory[sorted_arg]\n", "\n", " def store(self, sample):\n", " priority = 1.0\n", " if self.n_entries > 0:\n", " priority = self.memory[\n", " :self.n_entries, \n", " self.td_error_index].max()\n", " self.memory[self.next_index, \n", " self.td_error_index] = priority\n", " self.memory[self.next_index, \n", " self.sample_index] = np.array(sample)\n", " self.n_entries = min(self.n_entries + 1, self.max_samples)\n", " self.next_index += 1\n", " self.next_index = self.next_index % self.max_samples\n", "\n", " def _update_beta(self):\n", " self.beta = min(1.0, self.beta * self.beta_rate**-1)\n", " return self.beta\n", "\n", " def sample(self, batch_size=None):\n", " batch_size = self.batch_size if batch_size == None else batch_size\n", " self._update_beta()\n", " entries = self.memory[:self.n_entries]\n", "\n", " if self.rank_based:\n", " priorities = 1/(np.arange(self.n_entries) + 1)\n", " else: # proportional\n", " priorities = entries[:, self.td_error_index] + EPS\n", " scaled_priorities = priorities**self.alpha \n", " probs = np.array(scaled_priorities/np.sum(scaled_priorities), dtype=np.float64)\n", "\n", " weights = (self.n_entries * probs)**-self.beta\n", " normalized_weights = weights/weights.max()\n", " idxs = np.random.choice(self.n_entries, batch_size, replace=False, p=probs)\n", " samples = np.array([entries[idx] for idx in idxs])\n", " \n", " samples_stacks = [np.vstack(batch_type) for batch_type in np.vstack(samples[:, self.sample_index]).T]\n", " idxs_stack = np.vstack(idxs)\n", " weights_stack = np.vstack(normalized_weights[idxs])\n", " return idxs_stack, weights_stack, samples_stacks\n", "\n", " def __len__(self):\n", " return self.n_entries\n", " \n", " def __repr__(self):\n", " return str(self.memory[:self.n_entries])\n", " \n", " def __str__(self):\n", " return str(self.memory[:self.n_entries])" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "b = PrioritizedReplayBuffer()\n", "plt.plot([b._update_beta() for _ in range(100000)])\n", "plt.title('PER Beta')\n", "plt.xticks(rotation=45)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "class PER():\n", " def __init__(self, \n", " replay_buffer_fn, \n", " value_model_fn, \n", " value_optimizer_fn, \n", " value_optimizer_lr,\n", " max_gradient_norm,\n", " training_strategy_fn,\n", " evaluation_strategy_fn,\n", " n_warmup_batches,\n", " update_target_every_steps,\n", " tau):\n", " self.replay_buffer_fn = replay_buffer_fn\n", " self.value_model_fn = value_model_fn\n", " self.value_optimizer_fn = value_optimizer_fn\n", " self.value_optimizer_lr = value_optimizer_lr\n", " self.max_gradient_norm = max_gradient_norm\n", " self.training_strategy_fn = training_strategy_fn\n", " self.evaluation_strategy_fn = evaluation_strategy_fn\n", " self.n_warmup_batches = n_warmup_batches\n", " self.update_target_every_steps = update_target_every_steps\n", " self.tau = tau\n", "\n", " def optimize_model(self, experiences):\n", " idxs, weights, \\\n", " (states, actions, rewards, next_states, is_terminals) = experiences\n", " weights = self.online_model.numpy_float_to_device(weights)\n", " batch_size = len(is_terminals)\n", " \n", " argmax_a_q_sp = self.online_model(next_states).max(1)[1]\n", " q_sp = self.target_model(next_states).detach()\n", " max_a_q_sp = q_sp[\n", " np.arange(batch_size), argmax_a_q_sp].unsqueeze(1)\n", " target_q_sa = rewards + (self.gamma * max_a_q_sp * (1 - is_terminals))\n", " q_sa = self.online_model(states).gather(1, actions)\n", "\n", " td_error = q_sa - target_q_sa\n", " value_loss = (weights * td_error).pow(2).mul(0.5).mean()\n", " self.value_optimizer.zero_grad()\n", " value_loss.backward() \n", " torch.nn.utils.clip_grad_norm_(self.online_model.parameters(), \n", " self.max_gradient_norm)\n", " self.value_optimizer.step()\n", "\n", " priorities = np.abs(td_error.detach().cpu().numpy())\n", " self.replay_buffer.update(idxs, priorities)\n", "\n", " def interaction_step(self, state, env):\n", " action = self.training_strategy.select_action(self.online_model, state)\n", " new_state, reward, is_terminal, info = env.step(action)\n", " is_truncated = 'TimeLimit.truncated' in info and info['TimeLimit.truncated']\n", " is_failure = is_terminal and not is_truncated\n", " experience = (state, action, reward, new_state, float(is_failure))\n", "\n", " self.replay_buffer.store(experience)\n", " self.episode_reward[-1] += reward\n", " self.episode_timestep[-1] += 1\n", " self.episode_exploration[-1] += int(self.training_strategy.exploratory_action_taken)\n", " return new_state, is_terminal\n", " \n", " def update_network(self, tau=None):\n", " tau = self.tau if tau is None else tau\n", " for target, online in zip(self.target_model.parameters(), \n", " self.online_model.parameters()):\n", " target_ratio = (1.0 - self.tau) * target.data\n", " online_ratio = self.tau * online.data\n", " mixed_weights = target_ratio + online_ratio\n", " target.data.copy_(mixed_weights)\n", "\n", " def train(self, make_env_fn, make_env_kargs, seed, gamma, \n", " max_minutes, max_episodes, goal_mean_100_reward):\n", " training_start, last_debug_time = time.time(), float('-inf')\n", "\n", " self.checkpoint_dir = tempfile.mkdtemp()\n", " self.make_env_fn = make_env_fn\n", " self.make_env_kargs = make_env_kargs\n", " self.seed = seed\n", " self.gamma = gamma\n", " \n", " env = self.make_env_fn(**self.make_env_kargs, seed=self.seed)\n", " torch.manual_seed(self.seed) ; np.random.seed(self.seed) ; random.seed(self.seed)\n", " \n", " nS, nA = env.observation_space.shape[0], env.action_space.n\n", " self.episode_timestep = []\n", " self.episode_reward = []\n", " self.episode_seconds = []\n", " self.evaluation_scores = [] \n", " self.episode_exploration = []\n", " \n", " self.target_model = self.value_model_fn(nS, nA)\n", " self.online_model = self.value_model_fn(nS, nA)\n", " self.update_network(tau=1.0)\n", "\n", " self.value_optimizer = self.value_optimizer_fn(self.online_model, \n", " self.value_optimizer_lr)\n", "\n", " self.replay_buffer = self.replay_buffer_fn()\n", " self.training_strategy = training_strategy_fn()\n", " self.evaluation_strategy = evaluation_strategy_fn() \n", " \n", " result = np.empty((max_episodes, 5))\n", " result[:] = np.nan\n", " training_time = 0\n", " for episode in range(1, max_episodes + 1):\n", " episode_start = time.time()\n", " \n", " state, is_terminal = env.reset(), False\n", " self.episode_reward.append(0.0)\n", " self.episode_timestep.append(0.0)\n", " self.episode_exploration.append(0.0)\n", "\n", " for step in count():\n", " state, is_terminal = self.interaction_step(state, env)\n", " \n", " min_samples = self.replay_buffer.batch_size * self.n_warmup_batches\n", " if len(self.replay_buffer) > min_samples:\n", " experiences = self.replay_buffer.sample()\n", " idxs, weights, samples = experiences\n", " experiences = self.online_model.load(samples)\n", " experiences = (idxs, weights) + (experiences,)\n", " self.optimize_model(experiences)\n", " \n", " if np.sum(self.episode_timestep) % self.update_target_every_steps == 0:\n", " self.update_network()\n", "\n", " if is_terminal:\n", " gc.collect()\n", " break\n", " \n", " # stats\n", " episode_elapsed = time.time() - episode_start\n", " self.episode_seconds.append(episode_elapsed)\n", " training_time += episode_elapsed\n", " evaluation_score, _ = self.evaluate(self.online_model, env)\n", " self.save_checkpoint(episode-1, self.online_model)\n", "\n", " total_step = int(np.sum(self.episode_timestep))\n", " self.evaluation_scores.append(evaluation_score)\n", " \n", " mean_10_reward = np.mean(self.episode_reward[-10:])\n", " std_10_reward = np.std(self.episode_reward[-10:])\n", " mean_100_reward = np.mean(self.episode_reward[-100:])\n", " std_100_reward = np.std(self.episode_reward[-100:])\n", " mean_100_eval_score = np.mean(self.evaluation_scores[-100:])\n", " std_100_eval_score = np.std(self.evaluation_scores[-100:])\n", " lst_100_exp_rat = np.array(\n", " self.episode_exploration[-100:])/np.array(self.episode_timestep[-100:])\n", " mean_100_exp_rat = np.mean(lst_100_exp_rat)\n", " std_100_exp_rat = np.std(lst_100_exp_rat)\n", " \n", " wallclock_elapsed = time.time() - training_start\n", " result[episode-1] = total_step, mean_100_reward, \\\n", " mean_100_eval_score, training_time, wallclock_elapsed\n", " \n", " reached_debug_time = time.time() - last_debug_time >= LEAVE_PRINT_EVERY_N_SECS\n", " reached_max_minutes = wallclock_elapsed >= max_minutes * 60\n", " reached_max_episodes = episode >= max_episodes\n", " reached_goal_mean_reward = mean_100_eval_score >= goal_mean_100_reward\n", " training_is_over = reached_max_minutes or \\\n", " reached_max_episodes or \\\n", " reached_goal_mean_reward\n", "\n", " elapsed_str = time.strftime(\"%H:%M:%S\", time.gmtime(time.time() - training_start))\n", " debug_message = 'el {}, ep {:04}, ts {:06}, '\n", " debug_message += 'ar 10 {:05.1f}\\u00B1{:05.1f}, '\n", " debug_message += '100 {:05.1f}\\u00B1{:05.1f}, '\n", " debug_message += 'ex 100 {:02.1f}\\u00B1{:02.1f}, '\n", " debug_message += 'ev {:05.1f}\\u00B1{:05.1f}'\n", " debug_message = debug_message.format(\n", " elapsed_str, episode-1, total_step, mean_10_reward, std_10_reward, \n", " mean_100_reward, std_100_reward, mean_100_exp_rat, std_100_exp_rat,\n", " mean_100_eval_score, std_100_eval_score)\n", " print(debug_message, end='\\r', flush=True)\n", " if reached_debug_time or training_is_over:\n", " print(ERASE_LINE + debug_message, flush=True)\n", " last_debug_time = time.time()\n", " if training_is_over:\n", " if reached_max_minutes: print(u'--> reached_max_minutes \\u2715')\n", " if reached_max_episodes: print(u'--> reached_max_episodes \\u2715')\n", " if reached_goal_mean_reward: print(u'--> reached_goal_mean_reward \\u2713')\n", " break\n", " \n", " final_eval_score, score_std = self.evaluate(self.online_model, env, n_episodes=100)\n", " wallclock_time = time.time() - training_start\n", " print('Training complete.')\n", " print('Final evaluation score {:.2f}\\u00B1{:.2f} in {:.2f}s training time,'\n", " ' {:.2f}s wall-clock time.\\n'.format(\n", " final_eval_score, score_std, training_time, wallclock_time))\n", " env.close() ; del env\n", " self.get_cleaned_checkpoints()\n", " return result, final_eval_score, training_time, wallclock_time\n", " \n", " def evaluate(self, eval_policy_model, eval_env, n_episodes=1):\n", " rs = []\n", " for _ in range(n_episodes):\n", " s, d = eval_env.reset(), False\n", " rs.append(0)\n", " for _ in count():\n", " a = self.evaluation_strategy.select_action(eval_policy_model, s)\n", " s, r, d, _ = eval_env.step(a)\n", " rs[-1] += r\n", " if d: break\n", " return np.mean(rs), np.std(rs)\n", "\n", " def get_cleaned_checkpoints(self, n_checkpoints=5):\n", " try: \n", " return self.checkpoint_paths\n", " except AttributeError:\n", " self.checkpoint_paths = {}\n", "\n", " paths = glob.glob(os.path.join(self.checkpoint_dir, '*.tar'))\n", " paths_dic = {int(path.split('.')[-2]):path for path in paths}\n", " last_ep = max(paths_dic.keys())\n", " # checkpoint_idxs = np.geomspace(1, last_ep+1, n_checkpoints, endpoint=True, dtype=np.int)-1\n", " checkpoint_idxs = np.linspace(1, last_ep+1, n_checkpoints, endpoint=True, dtype=np.int)-1\n", "\n", " for idx, path in paths_dic.items():\n", " if idx in checkpoint_idxs:\n", " self.checkpoint_paths[idx] = path\n", " else:\n", " os.unlink(path)\n", "\n", " return self.checkpoint_paths\n", "\n", " def demo_last(self, title='Fully-trained {} Agent', n_episodes=3, max_n_videos=3):\n", " env = self.make_env_fn(**self.make_env_kargs, monitor_mode='evaluation', render=True, record=True)\n", "\n", " checkpoint_paths = self.get_cleaned_checkpoints()\n", " last_ep = max(checkpoint_paths.keys())\n", " self.online_model.load_state_dict(torch.load(checkpoint_paths[last_ep]))\n", "\n", " self.evaluate(self.online_model, env, n_episodes=n_episodes)\n", " env.close()\n", " data = get_gif_html(env_videos=env.videos, \n", " title=title.format(self.__class__.__name__),\n", " max_n_videos=max_n_videos)\n", " del env\n", " return HTML(data=data)\n", "\n", " def demo_progression(self, title='{} Agent progression', max_n_videos=5):\n", " env = self.make_env_fn(**self.make_env_kargs, monitor_mode='evaluation', render=True, record=True)\n", "\n", " checkpoint_paths = self.get_cleaned_checkpoints()\n", " for i in sorted(checkpoint_paths.keys()):\n", " self.online_model.load_state_dict(torch.load(checkpoint_paths[i]))\n", " self.evaluate(self.online_model, env, n_episodes=1)\n", "\n", " env.close()\n", " data = get_gif_html(env_videos=env.videos, \n", " title=title.format(self.__class__.__name__),\n", " subtitle_eps=sorted(checkpoint_paths.keys()),\n", " max_n_videos=max_n_videos)\n", " del env\n", " return HTML(data=data)\n", "\n", " def save_checkpoint(self, episode_idx, model):\n", " torch.save(model.state_dict(), \n", " os.path.join(self.checkpoint_dir, 'model.{}.tar'.format(episode_idx)))" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[2Kel 00:00:00, ep 0000, ts 000016, ar 10 016.0±000.0, 100 016.0±000.0, ex 100 0.3±0.0, ev 009.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0114, ts 008195, ar 10 201.3±077.3, 100 077.5±074.4, ex 100 0.4±0.1, ev 249.5±092.0\n", "\u001b[2Kel 00:02:01, ep 0147, ts 015589, ar 10 214.1±041.9, 100 139.9±098.4, ex 100 0.3±0.1, ev 274.4±088.5\n", "\u001b[2Kel 00:03:02, ep 0172, ts 021758, ar 10 331.9±141.8, 100 188.4±107.7, ex 100 0.2±0.1, ev 312.0±108.1\n", "\u001b[2Kel 00:04:02, ep 0185, ts 027603, ar 10 477.6±053.6, 100 237.3±133.0, ex 100 0.2±0.1, ev 345.2±119.8\n", "\u001b[2Kel 00:05:04, ep 0197, ts 033460, ar 10 500.0±000.0, 100 284.9±142.2, ex 100 0.2±0.0, ev 367.5±124.7\n", "\u001b[2Kel 00:06:09, ep 0210, ts 039626, ar 10 500.0±000.0, 100 321.6±149.6, ex 100 0.2±0.0, ev 389.6±126.9\n", "\u001b[2Kel 00:07:12, ep 0222, ts 045626, ar 10 500.0±000.0, 100 356.6±151.1, ex 100 0.2±0.0, ev 409.6±125.3\n", "\u001b[2Kel 00:08:12, ep 0234, ts 051599, ar 10 497.3±008.1, 100 386.5±148.6, ex 100 0.1±0.0, ev 435.8±112.1\n", "\u001b[2Kel 00:09:14, ep 0250, ts 057696, ar 10 434.3±133.0, 100 415.7±143.2, ex 100 0.2±0.0, ev 472.2±083.6\n", "\u001b[2Kel 00:09:29, ep 0253, ts 059187, ar 10 433.4±132.5, 100 422.4±141.5, ex 100 0.2±0.0, ev 476.0±080.4\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 535.72s training time, 589.28s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000034, ar 10 034.0±000.0, 100 034.0±000.0, ex 100 0.6±0.0, ev 008.0±000.0\n", "\u001b[2Kel 00:01:02, ep 0122, ts 008486, ar 10 198.0±084.3, 100 079.3±070.4, ex 100 0.4±0.1, ev 247.9±093.5\n", "\u001b[2Kel 00:02:02, ep 0158, ts 015616, ar 10 185.6±058.9, 100 135.0±088.8, ex 100 0.3±0.1, ev 255.4±091.9\n", "\u001b[2Kel 00:03:03, ep 0186, ts 021644, ar 10 228.0±051.7, 100 179.8±082.1, ex 100 0.2±0.1, ev 270.1±098.8\n", "\u001b[2Kel 00:04:06, ep 0199, ts 027497, ar 10 464.1±071.6, 100 228.1±114.9, ex 100 0.2±0.1, ev 303.3±115.3\n", "\u001b[2Kel 00:05:08, ep 0213, ts 033219, ar 10 418.5±146.4, 100 265.1±136.0, ex 100 0.2±0.0, ev 338.4±128.6\n", "\u001b[2Kel 00:06:08, ep 0249, ts 038526, ar 10 018.2±003.3, 100 246.4±181.8, ex 100 0.2±0.0, ev 309.2±191.7\n", "\u001b[2Kel 00:07:09, ep 0313, ts 043396, ar 10 053.2±034.6, 100 101.8±163.0, ex 100 0.2±0.1, ev 240.6±238.8\n", "\u001b[2Kel 00:08:09, ep 0524, ts 048111, ar 10 017.8±004.7, 100 018.3±004.4, ex 100 0.1±0.1, ev 019.1±003.1\n", "\u001b[2Kel 00:09:09, ep 0701, ts 053099, ar 10 024.6±006.0, 100 027.2±017.9, ex 100 0.1±0.1, ev 030.8±024.7\n", "\u001b[2Kel 00:10:09, ep 0931, ts 057875, ar 10 015.5±002.6, 100 015.6±003.3, ex 100 0.1±0.1, ev 015.0±002.0\n", "\u001b[2Kel 00:11:09, ep 1171, ts 062577, ar 10 040.2±017.0, 100 024.2±009.0, ex 100 0.1±0.1, ev 027.0±011.4\n", "\u001b[2Kel 00:12:09, ep 1303, ts 067680, ar 10 034.4±011.4, 100 041.0±020.5, ex 100 0.2±0.1, ev 054.0±016.7\n", "\u001b[2Kel 00:13:09, ep 1573, ts 072256, ar 10 011.5±002.2, 100 011.8±002.6, ex 100 0.1±0.1, ev 010.3±001.4\n", "\u001b[2Kel 00:14:09, ep 1940, ts 076402, ar 10 011.3±001.7, 100 011.4±002.7, ex 100 0.1±0.1, ev 009.4±000.7\n", "\u001b[2Kel 00:15:09, ep 2308, ts 080536, ar 10 011.7±002.5, 100 011.2±002.1, ex 100 0.1±0.1, ev 009.3±000.8\n", "\u001b[2Kel 00:16:09, ep 2675, ts 084680, ar 10 010.1±001.6, 100 011.4±002.6, ex 100 0.1±0.1, ev 009.3±000.7\n", "\u001b[2Kel 00:17:09, ep 3045, ts 088810, ar 10 010.9±002.3, 100 011.2±002.1, ex 100 0.1±0.1, ev 009.3±000.8\n", "\u001b[2Kel 00:18:10, ep 3382, ts 093083, ar 10 011.3±003.2, 100 015.8±011.8, ex 100 0.1±0.1, ev 013.6±008.3\n", "\u001b[2Kel 00:19:10, ep 3741, ts 097242, ar 10 012.6±003.7, 100 011.7±002.8, ex 100 0.1±0.1, ev 009.4±000.7\n", "\u001b[2Kel 00:20:10, ep 4106, ts 101354, ar 10 010.7±001.6, 100 011.4±002.3, ex 100 0.1±0.1, ev 009.5±000.7\n", "\u001b[2Kel 00:21:10, ep 4439, ts 105573, ar 10 016.1±002.6, 100 014.2±003.0, ex 100 0.1±0.1, ev 012.7±001.5\n", "\u001b[2Kel 00:22:10, ep 4573, ts 110637, ar 10 084.0±021.5, 100 045.4±027.2, ex 100 0.2±0.1, ev 052.0±049.0\n", "\u001b[2Kel 00:23:10, ep 4745, ts 115531, ar 10 027.4±005.5, 100 027.3±008.9, ex 100 0.2±0.1, ev 025.9±005.4\n", "\u001b[2Kel 00:24:11, ep 4856, ts 120737, ar 10 061.3±012.7, 100 048.9±016.5, ex 100 0.2±0.1, ev 051.9±019.3\n", "\u001b[2Kel 00:25:11, ep 4917, ts 126095, ar 10 088.6±028.7, 100 077.0±030.3, ex 100 0.1±0.0, ev 084.7±034.7\n", "\u001b[2Kel 00:26:11, ep 4981, ts 131018, ar 10 097.2±053.8, 100 083.2±037.1, ex 100 0.2±0.1, ev 103.6±039.7\n", "\u001b[2Kel 00:27:12, ep 5043, ts 136095, ar 10 067.0±023.8, 100 079.6±035.5, ex 100 0.2±0.0, ev 090.9±036.6\n", "\u001b[2Kel 00:28:12, ep 5113, ts 141154, ar 10 071.8±021.8, 100 073.7±019.7, ex 100 0.2±0.0, ev 078.1±014.0\n", "\u001b[2Kel 00:29:17, ep 5160, ts 146794, ar 10 277.7±133.1, 100 093.7±077.0, ex 100 0.2±0.0, ev 107.9±091.7\n", "\u001b[2Kel 00:30:02, ep 5170, ts 150923, ar 10 412.9±115.2, 100 127.0±127.6, ex 100 0.2±0.0, ev 142.8±138.0\n", "--> reached_max_minutes ✕\n", "Training complete.\n", "Final evaluation score 467.15±82.72 in 1709.67s training time, 1820.96s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000012, ar 10 012.0±000.0, 100 012.0±000.0, ex 100 0.4±0.0, ev 009.0±000.0\n", "\u001b[2Kel 00:01:01, ep 0122, ts 008475, ar 10 172.6±071.1, 100 079.5±075.3, ex 100 0.4±0.1, ev 199.4±102.0\n", "\u001b[2Kel 00:02:01, ep 0154, ts 015513, ar 10 220.0±056.3, 100 138.7±103.9, ex 100 0.3±0.1, ev 258.6±094.6\n", "\u001b[2Kel 00:03:01, ep 0175, ts 021061, ar 10 297.5±062.6, 100 186.7±104.0, ex 100 0.2±0.1, ev 282.1±090.5\n", "\u001b[2Kel 00:04:02, ep 0197, ts 026345, ar 10 233.9±065.7, 100 219.9±091.3, ex 100 0.2±0.1, ev 301.6±084.4\n", "\u001b[2Kel 00:05:06, ep 0213, ts 031711, ar 10 401.5±080.4, 100 247.4±098.5, ex 100 0.2±0.0, ev 324.6±095.0\n", "\u001b[2Kel 00:06:07, ep 0225, ts 037142, ar 10 443.1±116.9, 100 283.5±114.6, ex 100 0.2±0.0, ev 345.8±107.3\n", "\u001b[2Kel 00:07:10, ep 0241, ts 042511, ar 10 414.3±144.6, 100 300.6±126.7, ex 100 0.2±0.0, ev 373.6±116.9\n", "\u001b[2Kel 00:08:10, ep 0254, ts 047785, ar 10 387.5±124.9, 100 322.7±132.8, ex 100 0.2±0.0, ev 398.0±118.3\n", "\u001b[2Kel 00:09:12, ep 0267, ts 053628, ar 10 435.5±108.0, 100 350.6±135.8, ex 100 0.2±0.0, ev 421.4±112.3\n", "\u001b[2Kel 00:10:15, ep 0280, ts 059545, ar 10 456.8±091.1, 100 372.7±138.6, ex 100 0.2±0.0, ev 449.5±096.9\n", "\u001b[2Kel 00:11:10, ep 0293, ts 064692, ar 10 406.2±150.4, 100 394.2±138.7, ex 100 0.2±0.0, ev 475.4±071.7\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 632.94s training time, 690.34s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000012, ar 10 012.0±000.0, 100 012.0±000.0, ex 100 0.2±0.0, ev 011.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0131, ts 007898, ar 10 166.4±056.3, 100 071.7±058.6, ex 100 0.4±0.1, ev 212.9±086.7\n", "\u001b[2Kel 00:02:01, ep 0174, ts 015106, ar 10 214.9±084.9, 100 127.0±074.3, ex 100 0.3±0.1, ev 214.6±078.4\n", "\u001b[2Kel 00:03:03, ep 0195, ts 021079, ar 10 307.3±124.0, 100 174.3±102.1, ex 100 0.2±0.1, ev 259.2±117.2\n", "\u001b[2Kel 00:04:03, ep 0207, ts 026571, ar 10 494.5±016.5, 100 219.2±136.3, ex 100 0.2±0.1, ev 291.1±137.0\n", "\u001b[2Kel 00:05:06, ep 0219, ts 032133, ar 10 460.0±120.0, 100 261.9±152.7, ex 100 0.2±0.0, ev 326.6±146.2\n", "\u001b[2Kel 00:06:10, ep 0232, ts 037842, ar 10 436.4±138.2, 100 298.6±161.9, ex 100 0.2±0.0, ev 361.5±144.8\n", "\u001b[2Kel 00:07:13, ep 0244, ts 043290, ar 10 479.8±060.6, 100 337.3±159.9, ex 100 0.2±0.0, ev 396.6±137.7\n", "\u001b[2Kel 00:08:17, ep 0256, ts 049040, ar 10 500.0±000.0, 100 374.6±153.1, ex 100 0.2±0.0, ev 429.5±121.0\n", "\u001b[2Kel 00:09:21, ep 0268, ts 054925, ar 10 488.5±034.5, 100 412.8±135.5, ex 100 0.2±0.0, ev 463.3±091.1\n", "\u001b[2Kel 00:09:44, ep 0272, ts 056925, ar 10 500.0±000.0, 100 422.8±130.7, ex 100 0.2±0.0, ev 475.1±074.2\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 551.45s training time, 604.56s wall-clock time.\n", "\n", "\u001b[2Kel 00:00:00, ep 0000, ts 000039, ar 10 039.0±000.0, 100 039.0±000.0, ex 100 0.4±0.0, ev 038.0±000.0\n", "\u001b[2Kel 00:01:00, ep 0121, ts 008058, ar 10 162.4±078.2, 100 075.3±065.9, ex 100 0.4±0.1, ev 216.7±089.3\n", "\u001b[2Kel 00:02:04, ep 0162, ts 015542, ar 10 243.1±131.8, 100 135.6±089.3, ex 100 0.3±0.1, ev 219.5±083.3\n", "\u001b[2Kel 00:03:08, ep 0182, ts 021733, ar 10 343.2±163.8, 100 188.8±117.0, ex 100 0.2±0.1, ev 274.5±127.8\n", "\u001b[2Kel 00:04:12, ep 0198, ts 027564, ar 10 407.8±161.2, 100 229.7±139.8, ex 100 0.2±0.0, ev 317.1±146.5\n", "\u001b[2Kel 00:05:15, ep 0211, ts 033310, ar 10 424.6±151.1, 100 268.8±157.8, ex 100 0.2±0.0, ev 345.7±155.8\n", "\u001b[2Kel 00:06:16, ep 0225, ts 038808, ar 10 414.1±137.0, 100 301.9±163.2, ex 100 0.2±0.0, ev 390.4±146.7\n", "\u001b[2Kel 00:07:19, ep 0237, ts 044502, ar 10 469.4±063.8, 100 340.3±161.9, ex 100 0.2±0.0, ev 430.2±123.4\n", "\u001b[2Kel 00:08:19, ep 0250, ts 050042, ar 10 404.0±146.7, 100 372.1±156.6, ex 100 0.2±0.0, ev 465.9±092.4\n", "\u001b[2Kel 00:08:35, ep 0253, ts 051542, ar 10 435.3±129.4, 100 382.8±152.7, ex 100 0.2±0.0, ev 475.2±078.2\n", "--> reached_goal_mean_reward ✓\n", "Training complete.\n", "Final evaluation score 500.00±0.00 in 483.03s training time, 535.03s wall-clock time.\n", "\n" ] } ], "source": [ "per_results = []\n", "best_agent, best_eval_score = None, float('-inf')\n", "for seed in SEEDS:\n", " environment_settings = {\n", " 'env_name': 'CartPole-v1',\n", " 'gamma': 1.00,\n", " 'max_minutes': 30,\n", " 'max_episodes': 10000,\n", " 'goal_mean_100_reward': 475\n", " }\n", "\n", " value_model_fn = lambda nS, nA: FCDuelingQ(nS, nA, hidden_dims=(512,128))\n", " value_optimizer_fn = lambda net, lr: optim.RMSprop(net.parameters(), lr=lr)\n", " value_optimizer_lr = 0.0005\n", " max_gradient_norm = float('inf')\n", "\n", " training_strategy_fn = lambda: EGreedyExpStrategy(init_epsilon=1.0, \n", " min_epsilon=0.3, \n", " decay_steps=20000)\n", " evaluation_strategy_fn = lambda: GreedyStrategy()\n", "\n", " # replay_buffer_fn = lambda: ReplayBuffer(max_size=10000, batch_size=64)\n", " # replay_buffer_fn = lambda: PrioritizedReplayBuffer(\n", " # max_samples=10000, batch_size=64, rank_based=True, \n", " # alpha=0.6, beta0=0.1, beta_rate=0.99995)\n", " replay_buffer_fn = lambda: PrioritizedReplayBuffer(\n", " max_samples=20000, batch_size=64, rank_based=False,\n", " alpha=0.6, beta0=0.1, beta_rate=0.99995)\n", " n_warmup_batches = 5\n", " update_target_every_steps = 1\n", " tau = 0.1\n", "\n", " env_name, gamma, max_minutes, \\\n", " max_episodes, goal_mean_100_reward = environment_settings.values()\n", " agent = PER(replay_buffer_fn, \n", " value_model_fn, \n", " value_optimizer_fn, \n", " value_optimizer_lr,\n", " max_gradient_norm,\n", " training_strategy_fn,\n", " evaluation_strategy_fn,\n", " n_warmup_batches,\n", " update_target_every_steps,\n", " tau)\n", "\n", " make_env_fn, make_env_kargs = get_make_env_fn(env_name=env_name)\n", " result, final_eval_score, training_time, wallclock_time = agent.train(\n", " make_env_fn, make_env_kargs, seed, gamma, max_minutes, max_episodes, goal_mean_100_reward)\n", " per_results.append(result)\n", " if final_eval_score > best_eval_score:\n", " best_eval_score = final_eval_score\n", " best_agent = agent\n", "per_results = np.array(per_results)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

PER Agent progression

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Episode 0

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Episode 63

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Episode 126

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Episode 189

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Episode 253

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Fully-trained PER Agent

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Trial 0

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Trial 1

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Trial 2

\n", " " ], "text/plain": [ "" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "best_agent.demo_last()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "per_max_t, per_max_r, per_max_s, per_max_sec, per_max_rt = np.max(per_results, axis=0).T\n", "per_min_t, per_min_r, per_min_s, per_min_sec, per_min_rt = np.min(per_results, axis=0).T\n", "per_mean_t, per_mean_r, per_mean_s, per_mean_sec, per_mean_rt = np.mean(per_results, axis=0).T\n", "per_x = np.arange(np.max(\n", " (len(per_mean_s), len(dueling_ddqn_mean_s))))" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(5, 1, figsize=(15,30), sharey=False, sharex=True)\n", "\n", "# Dueling DDQN\n", "axs[0].plot(dueling_ddqn_max_r, 'r', linewidth=1)\n", "axs[0].plot(dueling_ddqn_min_r, 'r', linewidth=1)\n", "axs[0].plot(dueling_ddqn_mean_r, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[0].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_r, dueling_ddqn_max_r, facecolor='r', alpha=0.3)\n", "\n", "axs[1].plot(dueling_ddqn_max_s, 'r', linewidth=1)\n", "axs[1].plot(dueling_ddqn_min_s, 'r', linewidth=1)\n", "axs[1].plot(dueling_ddqn_mean_s, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[1].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_s, dueling_ddqn_max_s, facecolor='r', alpha=0.3)\n", "\n", "axs[2].plot(dueling_ddqn_max_t, 'r', linewidth=1)\n", "axs[2].plot(dueling_ddqn_min_t, 'r', linewidth=1)\n", "axs[2].plot(dueling_ddqn_mean_t, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[2].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_t, dueling_ddqn_max_t, facecolor='r', alpha=0.3)\n", "\n", "axs[3].plot(dueling_ddqn_max_sec, 'r', linewidth=1)\n", "axs[3].plot(dueling_ddqn_min_sec, 'r', linewidth=1)\n", "axs[3].plot(dueling_ddqn_mean_sec, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[3].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_sec, dueling_ddqn_max_sec, facecolor='r', alpha=0.3)\n", "\n", "axs[4].plot(dueling_ddqn_max_rt, 'r', linewidth=1)\n", "axs[4].plot(dueling_ddqn_min_rt, 'r', linewidth=1)\n", "axs[4].plot(dueling_ddqn_mean_rt, 'r:', label='Dueling DDQN', linewidth=2)\n", "axs[4].fill_between(\n", " dueling_ddqn_x, dueling_ddqn_min_rt, dueling_ddqn_max_rt, facecolor='r', alpha=0.3)\n", "\n", "# PER\n", "axs[0].plot(per_max_r, 'k', linewidth=1)\n", "axs[0].plot(per_min_r, 'k', linewidth=1)\n", "axs[0].plot(per_mean_r, 'k', label='PER', linewidth=2)\n", "axs[0].fill_between(per_x, per_min_r, per_max_r, facecolor='k', alpha=0.3)\n", "\n", "axs[1].plot(per_max_s, 'k', linewidth=1)\n", "axs[1].plot(per_min_s, 'k', linewidth=1)\n", "axs[1].plot(per_mean_s, 'k', label='PER', linewidth=2)\n", "axs[1].fill_between(per_x, per_min_s, per_max_s, facecolor='k', alpha=0.3)\n", "\n", "axs[2].plot(per_max_t, 'k', linewidth=1)\n", "axs[2].plot(per_min_t, 'k', linewidth=1)\n", "axs[2].plot(per_mean_t, 'k', label='PER', linewidth=2)\n", "axs[2].fill_between(per_x, per_min_t, per_max_t, facecolor='k', alpha=0.3)\n", "\n", "axs[3].plot(per_max_sec, 'k', linewidth=1)\n", "axs[3].plot(per_min_sec, 'k', linewidth=1)\n", "axs[3].plot(per_mean_sec, 'k', label='PER', linewidth=2)\n", "axs[3].fill_between(per_x, per_min_sec, per_max_sec, facecolor='k', alpha=0.3)\n", "\n", "axs[4].plot(per_max_rt, 'k', linewidth=1)\n", "axs[4].plot(per_min_rt, 'k', linewidth=1)\n", "axs[4].plot(per_mean_rt, 'k', label='PER', linewidth=2)\n", "axs[4].fill_between(per_x, per_min_rt, per_max_rt, facecolor='k', alpha=0.3)\n", "\n", "# ALL\n", "axs[0].set_title('Moving Avg Reward (Training)')\n", "axs[1].set_title('Moving Avg Reward (Evaluation)')\n", "axs[2].set_title('Total Steps')\n", "axs[3].set_title('Training Time')\n", "axs[4].set_title('Wall-clock Time')\n", "plt.xlabel('Episodes')\n", "axs[0].legend(loc='upper left')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "per_root_dir = os.path.join(RESULTS_DIR, 'per')\n", "not os.path.exists(per_root_dir) and os.makedirs(per_root_dir)\n", "\n", "np.save(os.path.join(per_root_dir, 'x'), per_x)\n", "\n", "np.save(os.path.join(per_root_dir, 'max_r'), per_max_r)\n", "np.save(os.path.join(per_root_dir, 'min_r'), per_min_r)\n", "np.save(os.path.join(per_root_dir, 'mean_r'), per_mean_r)\n", "\n", "np.save(os.path.join(per_root_dir, 'max_s'), per_max_s)\n", "np.save(os.path.join(per_root_dir, 'min_s'), per_min_s )\n", "np.save(os.path.join(per_root_dir, 'mean_s'), per_mean_s)\n", "\n", "np.save(os.path.join(per_root_dir, 'max_t'), per_max_t)\n", "np.save(os.path.join(per_root_dir, 'min_t'), per_min_t)\n", "np.save(os.path.join(per_root_dir, 'mean_t'), per_mean_t)\n", "\n", "np.save(os.path.join(per_root_dir, 'max_sec'), per_max_sec)\n", "np.save(os.path.join(per_root_dir, 'min_sec'), per_min_sec)\n", "np.save(os.path.join(per_root_dir, 'mean_sec'), per_mean_sec)\n", "\n", "np.save(os.path.join(per_root_dir, 'max_rt'), per_max_rt)\n", "np.save(os.path.join(per_root_dir, 'min_rt'), per_min_rt)\n", "np.save(os.path.join(per_root_dir, 'mean_rt'), per_mean_rt)" ] } ], "metadata": { "accelerator": "GPU", "colab": { "collapsed_sections": [], "name": "PyTorch_Tutorial.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.10" } }, "nbformat": 4, "nbformat_minor": 4 }