Popular GitHub Repositories for Atari

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

Atari - Deep Reinforcement Learning algorithms in TensorFlow

DQN to play Atari Pong

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

A working implementation of the Categorical DQN (Distributional RL).

A collection of Gymnasium compatible games for reinforcement learning.

Transformer-based World Models

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023

RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms