An Efficient Centralized Multi-Agent Reinforcement Learner for Cooperative Tasks

Multi-agent reinforcement learning (MARL) for cooperative tasks has been extensively researched over the past decade. The prevalent framework for MARL algorithms is centralized training and decentralized execution. Q-learning is often employed as a centralized learner. However, it requires finding t...

Descripció completa

Dades bibliogràfiques

Autors principals:	Dengyu Liao, Zhen Zhang, Tingting Song, Mingyang Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Multi-agent reinforcement learning reinforcement learning Q-learning multi-agent system
Accés en línia:	https://ieeexplore.ieee.org/document/10348557/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!