Xiangkun He

Transformer-based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation

Recent advances in multi-agent reinforcement learning (MARL) have significantly enhanced cooperation capabilities within multi-robot teams. However, the application to heterogeneous teams poses the critical challenge of combinatorial generalization—adapting learned policies to teams with new composi