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    "# \"AlphaGo - Mastering the game of Go with deep neural networks and tree search\"\n",
    "> \"This post is from Deepmind and OpenAI papers series, which I try to summarize and take some notes from some interesting papers from Deepmind and OpenAI. Here I will start with AlphaGo, which tries to combine the Monte Carlo Tree Search algorithm with deep learning to play Go.\"\n",
    "\n",
    "- toc:true\n",
    "- branch: master\n",
    "- badges: true\n",
    "- comments: true\n",
    "- author: Isaac Kargar\n",
    "- categories: [machine learning, deep learning]\n",
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    "![](https://github.com/kargarisaac/blog/blob/master/_notebooks/my_icons/alphago/alphago_1.jpeg?raw=1)"
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   "source": [
    "That’s it for the first one. In the next post, I will review the AlphaGo Zero paper."
   ]
  }
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