A Cooperative Multi-Agent Reinforcement Learning Method Based on Coordination Degree

A Cooperative Multi-Agent Reinforcement Learning Method Based on Coordination Degree

Multi-agent reinforcement learning (MARL) has become a prevalent method for solving cooperative problems owing to its tractable implementation and task distribution. The goal of the MARL algorithms for fully cooperative scenarios is to obtain the optimal joint strategy that maximizes the expected co...

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Bibliographic Details
Main Authors: Haoyan Cui, Zhen Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multi-agent reinforcement learning
multi-agent system
reinforcement learning
independent learner
Online Access:https://ieeexplore.ieee.org/document/9529182/

Internet

https://ieeexplore.ieee.org/document/9529182/

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