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)

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Contents

Master List of Deep RL Resources

Books

Introductory Tutorials / Courses

Papers

​📌 Master List of Deep RL Resources

​📖 Books

​🏛 Introductory Tutorials / Courses

​🔬 Papers

📌
Master List of Deep RL Resources

📖
Books

🏛
Introductory Tutorials / Courses

🔬
Papers