发表论文

如果您在您的工作中使用了 Tactics2D，请引用此论文。

@article{li2023tactics2d,
  title={Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making},
  author={Li, Yueyuan and Zhang, Songan and Jiang, Mingyang and Chen, Xingyuan and Yang, Ming},
  journal={arXiv preprint arXiv:2311.11058},
  year={2023}
}

基于 Tactics2D 的工作

欢迎您提出拉取请求并更新您基于 Tactics2D 的发表论文。

Jiang, Mingyang*, Li, Yueyuan*, Zhang, Songan, et al. "HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios." IEEE Transactions on Intelligent Transportation Systems (2025). (*Co-first author) | Code | Demo