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papers/readme.md

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+## 说明
 
-| 类别     | 论文题目                                                     | 原文链接                                      | 其他（视频解读） |
-| -------- | ------------------------------------------------------------ | --------------------------------------------- | -------------------- |
+该部分是蘑菇书的扩展内容，整理&总结了强化学习领域的经典论文。主要有DQN类、策略梯度类、模仿学习类、分布式强化学习、多任务强化学习、探索策略、分层强化学习以及其他技巧等方向的论文。后续会配有视频解读（与WhalePaper合作），会陆续上线Datawhale B站公众号。
+
+每周更新5篇左右的论文，欢迎关注。
+
+**转发请加上链接&来源（Easy-RL项目）**
+
+| 类别            | 论文题目                                                     | 原文链接                                      | 其他链接（视频解读） |
+| --------------- | ------------------------------------------------------------ | --------------------------------------------- | -------------------- |
 | DQN             | Playing Atari with Deep Reinforcement Learning               | https://arxiv.org/abs/1312.5602               |                      |
 |                 | Deep Recurrent Q-Learning for Partially Observable MDPs      | https://arxiv.org/abs/1507.06527              |                      |
 |                 | Dueling Network Architectures for Deep Reinforcement Learning (**Dueling DQN**) | https://arxiv.org/abs/1511.06581              |                      |
 |                 | Deep Reinforcement Learning with Double Q-learning (**Double DQN**) | https://arxiv.org/abs/1509.06461              |                      |
 |                 | Prioritized Experience Replay (**PER**)                      | https://arxiv.org/abs/1511.05952              |                      |
 |                 | Rainbow: Combining Improvements in Deep Reinforcement Learning (**Rainbow**) | https://arxiv.org/abs/1710.02298              |                      |
-| 策略梯度 | Asynchronous Methods for Deep Reinforcement Learning (**A3C**) | https://arxiv.org/abs/1602.01783              |                      |
+| Policy gradient | Asynchronous Methods for Deep Reinforcement Learning (**A3C**) | https://arxiv.org/abs/1602.01783              |                      |
 |                 | Trust Region Policy Optimization (**TRPO**)                  | https://arxiv.org/abs/1502.05477              |                      |
 |                 | High-Dimensional Continuous Control Using Generalized Advantage Estimation (**GAE**) | https://arxiv.org/abs/1506.02438              |                      |
 |                 | Proximal Policy Optimization Algorithms (**PPO**)            | https://arxiv.org/abs/1707.06347              |                      |
@@ -20,3 +27,4 @@
 |                 | Addressing Function Approximation Error in Actor-Critic Methods (**TD3**) | https://arxiv.org/abs/1802.09477              |                      |
 |                 | A Distributional Perspective on Reinforcement Learning (**C51**) | https://arxiv.org/abs/1707.06887              |                      |
 |                 |                                                              |                                               |                      |
+