rosmo

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

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

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.

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