DDQN

An elegant PyTorch deep reinforcement learning library.

Mastering Atari with Discrete World Models

Python library for Reinforcement Learning.

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement learning with tensorflow 2 keras

Reinforcement learning framework to accelerate research

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

A high-performance Atari A3C agent in 180 lines of PyTorch