#Atari
Showing 18 of 18 repositories tagged #atari, ranked by stars
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)
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.
Mastering Atari with Discrete World Models
Python library for Reinforcement Learning.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
Unified Reinforcement Learning Framework
A curated list of Monte Carlo tree search papers with implementations.
AI research environment for the Atari 2600 games 🤖.
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
Reinforcement Learning | tensorflow implementation of DQN, Dueling DQN and Double DQN performed on Atari Breakout
Transformer-based World Models
A collection of Gymnasium compatible games for reinforcement learning.
Deep Q-Learning (DQN) implementation for Atari pong.