Reinforcement Learning

Lecture/Video

• Course at UCL'15: Reinforcement Learning by David Silver [web] [video] [page]
• Tutorial at NIPS'16: Deep Reinforcement Learning Through Policy Optimization [video]
  • note: video is incorrect
• Course at Berkeley'17: Deep Reinforcement Learning by Sergey [web] [video]

Book/Material

 * Richard Sutton and Andrew Barto, Reinforcement Learning: An Introduction [pdf] [code] [page]

Webpage

• Awesome-RL: https://github.com/aikorea/awesome-rl
• Reddit ML: https://www.reddit.com/r/MachineLearning/
• NIPS 2016 Workshop: https://sites.google.com/site/deeprlnips2016/

Papers to read

• nips2016, Value Iteration Networks [pdf]
• arxiv2017, LEARNING TO REINFORCEMENT LEARN [pdf]
• arxiv2016, (CAD)^2RL: Real Single-Image Flight without a Single Real Image [pdf]
• arxiv2016, Asynchronous Methods for Deep Reinforcement Learning [pdf] [page]
• arxiv2016, LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS [pdf]
• arxiv2016, EPISODIC EXPLORATION FOR DEEP DETERMINISTIC POLICIES FOR STARCRAFT MICROMANAGEMENT [pdf]
• arxiv2016, THE PREDICTRON: END-TO-END LEARNING AND PLANNING [pdf]