An Efficient Centralized Multi-Agent Reinforcement Learner for Cooperative Tasks

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...

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Bibliographic Details
Main Authors:	Dengyu Liao, Zhen Zhang, Tingting Song, Mingyang Liu
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Multi-agent reinforcement learning reinforcement learning Q-learning multi-agent system
Online Access:	https://ieeexplore.ieee.org/document/10348557/

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