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Meilong Shi

1 accepted papers

2025

Diverse Collaboration in Multi-Agent Reinforcement Learning via Self-Adaptive Method

ICASSP 2025accepted

Multi-Agent Reinforcement Learning (MARL) has shown significant promise in tackling complex cooperative tasks, largely due to parameter sharing among agents. However, while this sharing facilitates teamwork, it can also result in agent homogenization, which limits individualized behaviors. To addres…

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