pytorch-rl topic
alpha_sigma
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
pytorch-cpp-rl
PyTorch C++ Reinforcement Learning
pytorch-rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
DI-engine
OpenDILab Decision AI Engine
DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
baby-a3c
A high-performance Atari A3C agent in 180 lines of PyTorch