{"id":15628549,"url":"https://github.com/amazingang/wtf-deeprl","last_synced_at":"2025-09-10T03:39:44.799Z","repository":{"id":50459349,"uuid":"254318237","full_name":"AmazingAng/WTF-DeepRL","owner":"AmazingAng","description":"Deep RL algorithm in pytorch","archived":false,"fork":false,"pushed_at":"2023-09-05T07:09:18.000Z","size":2967,"stargazers_count":316,"open_issues_count":3,"forks_count":62,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-08-29T06:35:55.059Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# WTF 深度强化学习\nWTF 深度强化学习算法库及教程，学习并复现经典的深度强化学习算法。\n\n深度强化学习算法使用pytorch实现，写在jupyter notebook中。用Atari Games中的Pong测试。\n\n## 先修课程\n\n1. 机器学习/深度学习\n\n2. python编程\n\n3. 经典强化学习\n\n## 目录\n\n**第1讲：Deep Q-learning**：[文章](https://github.com/AmazingAng/WTF-DeepRL/tree/master/01_DQN/readme.md) | [Code](https://github.com/AmazingAng/WTF-DeepRL/tree/master/01_DQN) | [Google Colab](https://colab.research.google.com/github/AmazingAng/WTF-DeepRL/blob/master/01_DQN/DQN.ipynb#)\n\n**第2讲：Prioritized Experience Replay (PER)**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/02_DQN_PER) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/02_DQN_PER/readme.md)\n\n**第3讲：Double DQN (DDQN)**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/03_DDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/03_DDQN/readme.md)\n\n**第4讲：Dueling DQN**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/04_DuelingDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/04_DuelingDQN/readme.md)\n\n**第5讲：DQN with Soft Update (Soft DQN)**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/05_SoftDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/readme.md)\n\n**第6讲：DQN with Noisy Net**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/06_NoisyDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/readme.md)\n\n**第7讲：DQN with Intrinsic Curiosity Module**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/07_ICMDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/07_ICMDQN/readme.md)\n\n**第8讲：Deep Recurrent Q-learning (DRQN)**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/08_DRQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/08_DRQN/readme.md)\n\n**第9讲：N-step DQN**：[代码](https://github.com/AmazingAng/deep-RL-elements/tree/master/09_NStepDQN) | [文章](https://github.com/AmazingAng/deep-RL-elements/tree/master/09_NStepDQN/readme.md)\n\n## Prerequisite \n- torch 1.4.0\n- gym[atari]\n- tensorboardX \n\n## 其他深度强化学习算法库 (pytorch)\n- [Reinforcement-Learning](https://github.com/andri27-ts/Reinforcement-Learning)\n- [DeepRL-Tutorials](https://github.com/qfettes/DeepRL-Tutorials)\n- [Deep-Reinforcement-Learning-Algorithms-with-PyTorch](https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazingang%2Fwtf-deeprl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famazingang%2Fwtf-deeprl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famazingang%2Fwtf-deeprl/lists"}