Reinforcement-Learning

Resources for Reinforcement Learning

Lectures

• Introduction to Reinforcement Learning, David Silver(Deepmind) [Youtube Link] [Lecture Notes]
• Introduction to Reinforcement Learning, SNU CML [Youtube Link]
• CS285 Deep Reinforcement Learning, UC Berkeley [Link]

Papers

• Deep Q-learning Network (DQN) [Paper][PyTorch Code][TF2 Code]
• Policy Gradient (PG) [Paper][TF2 Code]
• Deterministic Policy Gradient (DPG) [Paper]
• Deep Deterministic Policy Gradient (DDPG) [Paper][PyTorch Code]
• Asynchronous Methods for Deep Reinforcement Learning (A2C) [Paper][TF2 Code]
• Proximal Policy Optimization (PPO) [Paper][TF2 Code]
• Phasic Policy Gradient (PPG) [Paper]
• Twin Delayed DDPG (TD3) [Paper] [TF2 Code][PyTorch Code]
• Stein Variational Policy Gradient (SVPG) [Paper]
• Soft Actor Critic (SAC) [Paper][TF2 Code]