advantage-actor-critic topic

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

inoryy

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

qfettes

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

vwxyzjn

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

CherryPieSexy

Scalable, event-driven, deep-learning-friendly backtesting library

Kismuz

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR)...

ikostrikov

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

ChenglongChen

PyTorch C++ Reinforcement Learning

Omegastick

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

bentrevett

A PyTorch library for building deep reinforcement learning agents.

cpnota