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Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network
Jianhong Wang
https://arxiv.org/abs/2402.15324

Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network
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-agent system. There have been many schemes designed to conduct credit assignment by multi-agent reinforcement learning algorithms. Although these credit assignment schemes have been proved useful in improving the performance of multi-agent reinforcement learning, most of them are designed …