Abstract: This study focuses on the application of reinforcement learning in tactical military simulation environments involving heterogeneous multi-agent systems. Optimizing Heterogeneous Multi-Agent ...

Abstract: Under the promotion of "Industry 4.0" and "Made in China 2025" strategies, aiming at the problems of long design iteration cycle and low efficiency of cross-professional collaboration in the ...