tutorials-and-papers

Collection of tutorials, exercises and papers on RL

Study tracks

• Deep Reinforcement Learning

Other collections of resources

• awesome-rl
• awesome-deep-reinforcement-learning

Tutorials (theory)

• Nervana's Demystifying Deep Reinforcement Learning

Implementations

• Pytorch

  • Pytorch, DQN and gym

• Tensorflow

  • Minimal and clean examples of reinforcement learning algorithms

Reviews

• Yuxi Li, Deep Reinforcement Learning: An Overview 66 pages
• Arulkumaran et al, A Brief Survey of Deep Reinforcement Learning 14 pages

Theses

• David Silver's (2009) Reinforcement Learning and Simulation-Based Search in Computer Go
• John Schulman's (2016) Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs

Sutton & Barto

Deserves its own section

• 2nd edition draft Reinforcement Learning: An Introduction [PDF]
• Solutions:
  • official manual somewhere
  • JKCooper2/rlai-exercises
• Implementations
  • ShangtongZhang Sutton's student
  • Denny Britz Google Brain Resident

Books

• RL
  • Marco Wiering and Martijn van Otterlo Reinforcement Learning: State-of-the-Art
• DL
  • Goodfellow, Bengio and Courville Deep Learning
• ML
  • Bishop Pattern Recognition and Machine Learning

Libraries

• Tensorforce: A TensorFlow library for applied reinforcement learning
• keras-rl: Library with keras and openai gym, with several DRL algorithms implemented/