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SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Xu, Jianye, Hu, Pan, Alrifaee, Bassam
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Machine Learning Multiagent Systems Systems and Control
Accesso online:	Acceder al recurso
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