most citedSelf-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.MAShow all

1 paper · 1 filter

cs.MA2024

Measuring Policy Distance for Multi-Agent Reinforcement Learning

Tianyi Hu, Zhiqiang Pu, Xiaolin Ai +2

Diversity plays a crucial role in improving the performance of multi-agent reinforcement learning (MARL). Currently, many diversity-based methods have been developed to overcome th…