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)