SMARTS

SMARTS（Scalable Multi-Agent Reinforcement Learning Training School，可扩展多智能体强化学习训练学校）是一个用于多智能体强化学习（RL）和自动驾驶研究的仿真平台。它的重点在于真实且多样的交互。它是华为诺亚方舟实验室 XingTian RL 平台套件的一部分。

请阅读相关论文：SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving。

文档

1. 在 smarts.readthedocs.io 阅读文档 :notebook_with_decorative_cover: :fire:
2. 基础示例
3. RL 模型

问题、Bug 和功能请求

1. 首先，请阅读此处了解如何沟通问题、报告 Bug 以及请求功能。
2. 然后，请在 https://github.com/huawei-noah/SMARTS/issues 使用合适的标签提交它们。

引用本工作

如果您在研究中使用了 SMARTS，请引用该论文。BibTeX 格式如下：

@misc{SMARTS,
    title={SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving},
    author={Ming Zhou and Jun Luo and Julian Villella and Yaodong Yang and David Rusu and Jiayu Miao and Weinan Zhang and Montgomery Alban and Iman Fadakar and Zheng Chen and Aurora Chongxi Huang and Ying Wen and Kimia Hassanzadeh and Daniel Graves and Dong Chen and Zhengbang Zhu and Nhat Nguyen and Mohamed Elsayed and Kun Shao and Sanjeevan Ahilan and Baokuan Zhang and Jiannan Wu and Zhengang Fu and Kasra Rezaee and Peyman Yadmellat and Mohsen Rohani and Nicolas Perez Nieves and Yihan Ni and Seyedershad Banijamali and Alexander Cowen Rivers and Zheng Tian and Daniel Palenicek and Haitham bou Ammar and Hongbo Zhang and Wulong Liu and Jianye Hao and Jun Wang},
    url={https://arxiv.org/abs/2010.09776},
    primaryClass={cs.MA},
    booktitle={Proceedings of the 4th Conference on Robot Learning (CoRL)},
    year={2020},
    month={11}
}