路线图 | Deep Reinforcement Learning

1. 知乎上关于DRL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. Papers

2.1 入门两篇

• Playing Atari with Deep Reinforcement Learning [paper] [code]（第一次提出Deep Reinforcement Learning 这个名称）
• Human-level Control through Deep Reinforcement Learning

3. Books

• Reinforcement Learning: an Introduction, Sutton&Barto ,Second Edition (pdf) & also ebook here
• Reinforcement Learning, Marco Wiering and Martijn van Otterlo (Eds.)

4. Course

4.1 UCL Course on RL

• Reinforcement Learning

4.2 深度增强学习暑期学校（Bercley）

• 官方课程资料：http://rl-gym-doc.s3-website-us-west-2.amazonaws.com/mlss/index.html
• 知乎PPT详解：https://zhuanlan.zhihu.com/p/21369441?refer=intelligentunit

4.3 莫烦教程

• Morvan-Reinforcement Learning

5. Practice

5.1 Tutorials

• 莫烦教程-Reinforcement Learning

  • Learning Notes: Morvan - Reinforcement Learning, Part 1: Overview

  • Learning Notes: Morvan - Reinforcement Learning, Part 2: Q-learning

  • Learning Notes: Morvan - Reinforcement Learning, Part 3: Sarsa

  • Learning Notes: Morvan - Reinforcement Learning, Part 4: Deep Q Network

• 莫烦教程-Tensorflow

• 莫烦教程-Keras

• 莫烦教程-SciKitLearn

5.2 Projects / Packages

• Simple Reinforcement Learning with Tensorflow
• 智能车 self driving car + 强化学习 reinforcement learning + 神经网络 模拟
• Reinforcement Learning for Autonomous Driving Obstacle Avoidance using LIDAR
• DeepMind's deep Q learning technology
• Q-Learning to Walk - Evolution [Youtube Video] [Github Repo]