XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

google-research-football 开源项目推荐(11 个)
google-research-football 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 全部 11
GitHub 共 11 个仓库,已全部展示统一强化学习框架
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Learning-based agent for Google Research Football (足球游戏智能体)
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023) 足球游戏智能体
A bit-exact, batched reimplementation of Google Research Football, for CUDA and CPU
Full-stack 11v11 football simulation platform built on Google Research Football, with multi-agent policies, deterministic replay pipelines, season management, analytics, and broadcast-style 3D rendering.
A 12-club MARL league and derivative-free research workbench with replay offload
Edit layered images, retouch photos, and develop RAW files natively on Linux and Windows.
Live, AI-generated audio commentary for Google Research Football matches - GPT-3 as commentator DARIUS + OpenTTS speech synthesis. Bachelor thesis project, last verified in 2023.
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 11 个项目;原始页面见 https://github.com/topics/google-research-football。
- 该话题在 GitHub 上共有 11 个仓库, 本站收录的是其中最热门的 11 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 11 个项目累计 3123 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 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。