Google Research Football

该数据集是一个具有挑战性的强化学习环境，旨在训练足球游戏中的多个智能体。它专注于足球游戏中的战术互动，为多智能体学习提供了一个逼真的模拟场景。该数据集包含了官方设定的多种场景，包括学院反击简易模式、学院反击困难模式以及带守门员的学院跑动传球射门模式。其研究任务主要聚焦于多智能体强化学习。

This dataset is a challenging reinforcement learning environment intended for training multiple AI Agents in football games. It centers on tactical interactions within football matches, offering a realistic simulation scenario for multi-agent learning. The dataset contains several officially defined scenarios, including simple academy counter-attack mode, difficult academy counter-attack mode, and academy running-passing-shooting mode with a goalkeeper. Its core research tasks primarily focus on multi-agent reinforcement learning.