GitHub 中文社区
回车: Github搜索    Shift+回车: Google搜索
论坛
排行榜
趋势
登录

©2025 GitHub中文社区论坛GitHub官网网站地图GitHub官方翻译

  • X iconGitHub on X
  • Facebook iconGitHub on Facebook
  • Linkedin iconGitHub on LinkedIn
  • YouTube iconGitHub on YouTube
  • Twitch iconGitHub on Twitch
  • TikTok iconGitHub on TikTok
  • GitHub markGitHub’s organization on GitHub
集合主题趋势排行榜
#

google-research-football

Website
Wikipedia
https://static.github-zh.com/github_avatars/agi-brain?size=40
agi-brain / xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

multi-agent-reinforcement-learningreinforcement-learningdecision-makingPyTorchtensorflow2atarimujocoa2cddpgdqnstarcraft2google-research-footballppo
Python 923
17 小时前
https://static.github-zh.com/github_avatars/google-research?size=40
google-research / seed_rl

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

rlimpalar2d2atarideepmind-labgoogle-research-footballtf2Google 云
Python 828
3 年前
https://static.github-zh.com/github_avatars/OpenRL-Lab?size=40
OpenRL-Lab / openrl

#大语言模型#Unified Reinforcement Learning Framework

google-research-footballgymmulti-agent-reinforcement-learningPyTorchreinforcement-learningRoboticsautodriveembodied-aigame-aiatarimujoco大语言模型
Python 760
1 年前
https://static.github-zh.com/github_avatars/TARTRL?size=40
TARTRL / TiKick

Learning-based agent for Google Research Football (足球游戏智能体)

PyTorchgoogle-research-footballreinforcement-learningmulti-agent-reinforcement-learning
Python 121
2 年前
https://static.github-zh.com/github_avatars/Shanghai-Digital-Brain-Laboratory?size=40
Shanghai-Digital-Brain-Laboratory / DB-Football

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

distributedgoogle-research-footballmulti-agent-reinforcement-learningrayfootballreinforcement-learningppoPyTorch
Python 107
2 年前
https://static.github-zh.com/github_avatars/OpenRL-Lab?size=40
OpenRL-Lab / TiZero

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体

multi-agent-reinforcement-learningPyTorchreinforcement-learninggoogle-research-football
Python 60
2 年前