用于一般RL环境的基于C++的高性能并行环境执行引擎(vectorized env)。
atari-games 开源项目推荐(136 个)
atari-games 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 136 个仓库Adversarial attacks on Deep Reinforcement Learning (RL)
This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
A C project in which you can play some of your classic arcade video games from the '80s on the terminal.
reinforcement learning, deep Q-network, double DQN, dueling DQN, prioritized experience replay
Reinforcement Learning with Perturbed Reward, AAAI 2020
Implementation of Google's paper on playing atari games using deep learning in python.
Unofficial Dark knight game for Atari 2600
Implementation Deep Q Network to play Atari Games
Deep learning works for ADLxMLDS (CSIE 5431) in NTU
Reinforcement Learning on Atari Games and Control
Modified versions of the Soft Actor-Critic algorithm for Atari games from https://github.com/ac-93/soft-actor-critic.
This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://link.springer.com/article/10.1007/s12530-023-09510-3
JavaScript based tracker application that exports compositions into assembly code for Paul Slocums Sequencer Kit for Atari 2600
PyTorch Implementation of Visual GAIL in Atari Games
Bots for Atari Games using Reinforcement Learning
Deep Q-Network (DQN) to play classic Atari Games
RL Agent for Atari Game Pong
Works for Applied Deep Learning / Machine Learning and Having It Deep and Structured (2017 FALL) @ NTU
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/atari-games。
- 该话题在 GitHub 上共有 136 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2037 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。