Popular GitHub Repositories for Atari2600

An elegant PyTorch deep reinforcement learning library.

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

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

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

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.

Unified Reinforcement Learning Framework

A curated list of Monte Carlo tree search papers with implementations.

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

Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.

Atari - Deep Reinforcement Learning algorithms in TensorFlow

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN