There are 10 repositories under atari topic.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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. The Most Comprehensive Reinforcement Learning Framework B.P.
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
Multiplayer Bluetooth controllers adapter for retro video game consoles & computers
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Python library for Reinforcement Learning.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
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 JavaScript library used for running emulators of retro consoles inside browsers.
A multi-platform Atari 2600 Emulator
A curated list of Monte Carlo tree search papers with implementations.
A3C LSTM Atari with Pytorch plus A3G design
Compile Java byte-code to native CPU's.
The personal retro game collection cabinet in your browser. Join us on Discord https://discord.gg/gwaKRAYG6t
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.
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
An `openai/atari-py` fork with Windows support and removed zlib/libpng dependencies. Binaries (wheels) are on "Releases" tab.
Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro
Atari - Deep Reinforcement Learning algorithms in TensorFlow
Photoshop templates for various videogame console cartridges