atari

An elegant PyTorch deep reinforcement learning library.

iOS & tvOS multi-emulator frontend, supporting various Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems… Get Started: https://wiki.provenance-emu.com |

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).

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

OpenDILab Decision AI Engine

Multiplayer Bluetooth controllers adapter for retro video game consoles

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

Mastering Atari with Discrete World Models

Python library for Reinforcement Learning.

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

A3C LSTM Atari with Pytorch plus A3G design

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

A multi-platform Atari 2600 Emulator

Project for capturing vintage, classic, aka old computer schematics in KiCad.

AI research environment for the Atari 2600 games 🤖.

Reinforcement learning with tensorflow 2 keras

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

A large repository of Atari ST (and family) source code

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.

Reinforcement learning framework to accelerate research