Reinforcement Learning Resources

rl_resources.md

Learning RL Resources

• The RL book by R. Sutton and A. Bartow
  • The classic book of RL
  • @GlenB told me not to read about Deep RL before you read the classical sutff first
• Spinning up RL
  • A set of resources including a tutorial and excercises for some of the Deep RL algorithms

Video Lectues

• RL Bootcamp
• DLRL Summer School 2018
• NeurIPS 2016 Keynote by Pieter Abeel

Articles

• Ben Recht's "An Outsider’s Tour of Reinforcement Learning" (part 1)
• Andrej Karpathy's Pong from Pixels
• All the Policy Gradient algorithms

Courses

• Sergey Levine's DeepRL from Berkeley
  • Has great excercises if you have the time

Papers

• Deep RL Papers
• Key papers in Deep RL

Libraries

• Machina
  • This is in my opinon the best library in terms of flexibility, readability, and coverage
• OpenAI's Baselines
• Berkeley's RLLab
• Keras RL