## Gallery In order to facilitate users' familiarity with the framework, we provide more examples and demos of using OpenRL in Gallery. Users are also welcome to contribute their own training examples and demos to the Gallery. ### Tags:          (Value-based RL)  (Off-policy RL)  (Discrete Action Space)  (Continuous Action Space)  (Discrete+Continuous Action Space)  (Imitation Learning or Supervised Learningļ¼ ## Algorithm List
|  | [code](./examples/mujoco/) |
| [CartPole](https://gymnasium.farama.org/environments/classic_control/cart_pole/)
|  | [code](./examples/cartpole/) |
| [MPE: Simple Spread](https://pettingzoo.farama.org/environments/mpe/simple_spread/)
|   | [code](./examples/mpe/) |
| [StarCraft II](https://github.com/oxwhirl/smac)
|   | [code](./examples/smac/) |
| [SMACv2](https://github.com/oxwhirl/smacv2)
|   | [code](./examples/smacv2/) |
| [Chat Bot](https://openrl-docs.readthedocs.io/en/latest/quick_start/train_nlp.html)
|    | [code](./examples/nlp/) |
| [Atari Pong](https://gymnasium.farama.org/environments/atari/pong/)
|   | [code](./examples/atari/) |
| [PettingZoo: Tic-Tac-Toe](https://pettingzoo.farama.org/environments/classic/tictactoe/)
|   | [code](./examples/selfplay/) |
| [DeepMind Control](https://shimmy.farama.org/environments/dm_control/)
|  | [code](./examples/dm_control/) |
| [Omniverse Isaac Gym](https://github.com/NVIDIA-Omniverse/OmniIsaacGymEnvs)
|  | [code](./examples/isaac/) |
| [Snake](http://www.jidiai.cn/env_detail?envid=1)
|   | [code](./examples/snake/) |
| [gym-pybullet-drones](https://github.com/utiasDSL/gym-pybullet-drones)
|  | [code](./examples/gym_pybullet_drones/) |
| [EnvPool](https://github.com/sail-sg/envpool)
|  | [code](./examples/gridworld/) |
| [Super Mario Bros](https://github.com/Kautenja/gym-super-mario-bros)
|   | [code](./examples/super_mario/) |
| [Gym Retro](https://github.com/openai/retro)
|   | [code](./examples/retro/) |
| [Crafter](https://github.com/danijar/crafter)
|   | [code](./examples/crafter/) |