强化学习 - 初识

notes

• Qlearning
• DQN
• RL

code

• qlearning_frozenlake
• dqn_cart

blog

• [ ] 莫烦-rl-python

  • github_code_rl
  • rl_in_manipulator

• [ ] CSDN-openai concepts

• [ ] 知乎-张楚珩-强化学习算法论文
• [ ] 知乎-强化学习知识大讲堂
• [ ] simoninithomas/Deep_reinforcement_learning_Course
• [ ] 刘建平
  • github_rl_code
• andri27-ts/60_Days_RL_Challenge
• metalbubble/RLexample
• 分布式强化学习框架
• DQFD_GUTHUB
• 深度强化学习的 18 个关键问题
• DeepRLHacks
• median
• openai 推荐论文
• awesome-rl

read material

• CoRL Open Problems Nov 2017

course

• [ ] David Silver
• [ ] book by Richard S. Sutton
  • new code in github
  • 知乎-张文—笔记
• CS234-stanford,主题丰富
  • assignment
• CS 287: Advanced Robotics, Fall 2015（Peter Abeel,强化学习和机器人
• CS294-前言，模仿学习，机器人背景相关
• REINFORCEMENT LEARNING AND OPTIMAL CONTROL

people

• REZA MAKJOURIAN
• Pieter Abbeel
• Sergey Levine
• Lei TAI 邰磊

open source

• open_ai
• pybullet
• Surreal
• MuJoCo
  • MuJoCo-Tutorial
• reinforce_js
• chainerRl
• rllab
• stable-baselines
• pytorch rl