TARTRL/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

No further update in here. Further update for TiZero can be found at https://github.com/OpenRL-Lab/TiZero. For the JRPO algorithm implementation, plz refer to https://github.com/OpenRL-Lab/openrl/tree/main/examples/mpe.

1.Introduction

Reinforcement learning agent for Google Research Football.

Code accompanying the paper "TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play" (AAMAS 2023). [paper] [videos].

2.Submit TiZero to JIDI(及第评测平台)

JIDI is a public evaluation platform for RL agents. You can submit your agent of GRF at: http://www.jidiai.cn/env_detail?envid=34.

We provide two agents under ./submission/ directory:

• ./submission/tizero: the final model of TiZero for JIDI submission, which ranked 1st on October 28th, 2022.
• ./submission/random_agent: the random agent for JIDI submission.

3.Cite

Please cite our paper if you use our codes or our weights in your own work:

@article{lin2023tizero,
  title={TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play},
  author={Lin, Fanqi and Huang, Shiyu and Pearce, Tim and Chen, Wenze and Tu, Wei-Wei},
  journal={arXiv preprint arXiv:2302.07515},
  year={2023}
}