Awesome RL Notes

This repository contains useful links & notes of just one ordinary DL engineer

RL Books:

• Richard Sutton & Andrew Barto - Reinforcement Learning: An Introduction
• Csaba Szepesvári - Algorithms for Reinforcement Learning
• Dimitri P. Bertsekas - Reinforcement Learning and Optimal Control

RL Slides & Videos:

• Deep RL Bootcamp
• Practical RL from Yandex Data School
• Efficient Multi-Task Deep RL by V. Mnih

RL-Related Demos:

• The Markov-chain Monte Carlo Interactive Gallery

RL Courses:

• David Silver RL course (Google DeepMind)
• CS 294: Deep Reinforcement Learning
• Reinforcement Learning by Georgia Tech

Blogs & news:

• RL on Reddit
• Monte-Carlo Tree Search: Begginer Guide
• Intro to Monte-Carlo Tree Search
• Evolution Strategies as a Scalable Alternative to Reinforcement Learning
• Deep Reinforcement Learning Doesn't Work Yet - 2018/02/14
• Reinforcement Learning never worked, and 'deep' only helped a bit - 2018/02/23
• The Nuts and Bolts of Deep RL Research by John Schulman
• Faulty Reward Functions - OpenAI blog

Overview:

• Deep Reinforcement Learning: An Overview

RL Environments:

• OpenAI Gym
• OpenAI Gym Retro
• Arcade Learning Environment
• The DeepMind Control Suite and Package
• PySC2 - StarCraft II Learning Environment
• CARLA - open-source simulator for autonomous driving research
• Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
• OpenSpiel: A Framework for Reinforcement Learning in Games
• Google Research Football

RL Code:

• OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
• Implementation of Reinforcement Learning Algorithms by Denny Britz
• Dopamine (TF-based RL framework)
• BlueWhale (PyTorch & Caffe2-based RL framework)
• Deep Reinforcement Learning Algorithms with PyTorch by @p-christ
• Deep Reinforcement Learning in PyTorch by BAIR

RL (must-have) papers:

• Playing Atari with Deep Reinforcement Learning
• Mastering the Game of Go with Deep Neural Networks and Tree Search
• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
• Diversity is All You Need: Learning Skills without a Reward Function
• Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
• Kickstarting Deep Reinforcement Learning
• Reproducibility in RL
• Asynchronous Methods for Deep Reinforcement Learning