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Deqin Zheng

1 accepted papers

2025

A Ranking Scheme for Trust Region Multi-agent Reinforcement Learning

ICASSP 2025accepted

In multi-agent reinforcement learning (MARL), trust region (TR) methods are widely used because they effectively mitigate the nonstationarity of multi-agent systems and facilitate collaboration among diverse agent types. Based on the multi-agent advantage decomposition lemma, TR methods adopt a sequ…

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