MA2MB：基于多智能体互建议模型的强化学习在追逃博弈中的应用

Baolin Zhao, Qi Guo, Xiandong Wang, Rachid Hedjam, Guoqiang Zhong

Robotics and Autonomous Systems · 2026

摘要

该论文提出了一种多智能体互建议的模型强化学习方法，用于解决追逃博弈问题。通过智能体间的相互建议机制，提升了模型的学习效率和策略性能。

multi-agentreinforcement learningpursuit-evasionmodel-basedmutual-advising

LEARNING

开放获取📊 1 引用

Keyi Shen, Glen Chou

2026

LEARNING

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Hedi Boukamcha, Anas Neumann, Monia Rekik 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

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Xiwei Wu, Wei Wu, Qiqi Chen 等 9 位作者

Robotics and Computer-Integrated Manufacturing · 2026

MANIPULATION

📊 0 引用

Yong Tao, Donghua Tan, Fan Ren 等 9 位作者

Robotics and Computer-Integrated Manufacturing · 2026