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Autonomous vehicles trained through Multi-Agent Reinforcement Learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can be impacted when faced with diverse driving styles and perso
Externí odkaz:
http://arxiv.org/abs/2402.13481
Autor:
Lingping Gao, Ziqing Gu, Cong Qiu, Lanxin Lei, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Lanxin Lei, Ruiming Luo, Renjie Zheng, Jingke Wang, JianWei Zhang, Cong Qiu, Liulong Ma, Liyang Jin, Ping Zhang, Junbo Chen
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).