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Feb, 2024
基于Shapley值的多智能体强化学习:理论、方法及其在能源网络中的应用
Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network
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Jianhong Wang
TL;DR
本论文通过合作博弈理论研究了多智能体强化学习中的信用分配问题,提出了一种基于Markov Shapley值的信用分配方案,并应用于能源网络的真实问题上。
Abstract
multi-agent reinforcement learning
is an area of rapid advancement in artificial intelligence and machine learning. One of the important questions to be answered is how to conduct
credit assignment
in a multi-age
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