There are 10 repositories under atari topic.
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).
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.
Python library for Reinforcement Learning.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
A JavaScript library used for running emulators of retro consoles inside browsers.
A curated list of Monte Carlo tree search papers with implementations.
A multi-platform Atari 2600 Emulator
Unified Reinforcement Learning Framework
A3C LSTM Atari with Pytorch plus A3G design
Compile Java byte-code to native CPU's.
Project for capturing vintage, classic, aka old computer schematics in KiCad.
SDK for developing with the llvm-mos compiler
A large repository of Atari ST (and family) source code
8-bit systems to ESP32 WiFi Multifunction Firmware
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.
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
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
A working implementation of the Categorical DQN (Distributional RL).