Clean baseline implementation of PPO using an episodic TransformerXL memory

Deep Reinforcement Learning by using Truly Proximal Policy Optimization in Tensorflow 2 and Pytorch

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

Monte Carlo Search Tree for training shared Actor-Critic-Network on the game Hex🏋️

PyTorch implementation of V-MPO

Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world

My content of CS294 Deep Reinforcement Learning course, conduced by Sergey Levine from UC Berkeley.

On-policy MCTS combined with deep learning to train an actor-critic neural network that plays Hex (Con-tac-tix).