1. 知乎上关于DQN入门的系列文章

1.1 DQN 从入门到放弃

DQN 从入门到放弃1 DQN与增强学习

DQN 从入门到放弃2 增强学习与MDP

DQN 从入门到放弃3 价值函数与Bellman方程

DQN 从入门到放弃4 动态规划与Q-Learning

DQN从入门到放弃5 深度解读DQN算法

DQN从入门到放弃6 DQN的各种改进

DQN从入门到放弃7 连续控制DQN算法-NAF

　　12/29/2016 看完1和2；

1.2 Deep Reinforcement Learning 深度增强学习资源 (持续更新）

2. 入门Paper

2.1 Playing Atari with Deep Reinforcement Learning

DeepMind在NIPS 2013上发表的一文，在该文中第一次提出Deep Reinforcement Learning 这个名称，并且提出DQN（Deep Q-Network）算法，实现从纯图像输入完全通过学习来玩Atari游戏的成果

2.2 Human-level Control through Deep Reinforcement Learning

同样DeepMind出品。

3. Books

Reinforcement Learning, Marco Wiering and Martijn van Otterlo (Eds.)

4. Course

4.1 UCL Course on RL

Reinforcement Learning

5. Recommended Paper

...

6. 简单的动手项目

Simple Reinforcement Learning with Tensorflow

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