Zhibo Deng

Sparse Topology-Aware Pairwise Scoring for Large-Scale Multi-Agent Reinforcement Learning

In multi-agent reinforcement learning (MARL), communication enables agents to mitigate partial observability and stochasticity through information sharing, but large-scale systems inherently lead to a rapidly growing number of pairwise interactions. Previous studies often struggle to simultaneously …