Deep RL Resources

📌 Master List of Deep RL Resources

GitHub - kengz/awesome-deep-rl: A curated list of awesome Deep Reinforcement Learning resources.GitHub

📖 Books

• Graesser and Keng, Foundations of Deep Reinforcement Learning

• Sutton and Barto, Reinforcement Learning: An Introduction

• Francois-Lavet et. al., An Introduction to Deep Reinforcement Learning

🏛️ Introductory Tutorials / Courses

• Andrew Karpathy Deep Reinforcement Learning: Pong from Pixels

• Arthur Juliani Simple Reinforcement Learning in Tensorflow Series

• David Silver UCL Course on RL 2015

• Deep RL Bootcamp 2017

• DeepMind UCL Deep RL Course 2018

• dennybritz/reinforcement-learning

• higgsfield/RL-Adventure-2

• higgsfield/RL-Adventure

• MorvanZhou/Reinforcement Learning Methods and Tutorials

• OpenAI Spinning Up

• Sergey Levine CS294 Deep Reinforcement Learning Fall 2017

🔬 Papers

• DQN

• Double DQN (DDQN)

• Dueling DQN

• Prioritized Experience Replay (PER)

• Combined Experience Replay (CER)

• Hindsight Experience Replay (HER)

• QT-Opt

• Asynchronous Advantage Actor Critic (A3C)

• Generalized Advantage Estimation (GAE)

• Proximal Policy Optimization (PPO)

• Self Imitation Learning (SIL)

• Soft Actor-Critic (SAC)