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DRG-MAPPO

model1 events
papersSEP 12 04:00 UTC

DRG-MAPPO: Hierarchical Role-Graph Multi-Agent RL for Cooperative Air Combat

A new arXiv paper introduces DRG-MAPPO, a hierarchical multi-agent reinforcement learning method that builds dynamic role graphs to improve tactical coordination among cooperating agents. The authors apply it to cooperative air combat scenarios, where multiple autonomous units must make complex decisions together. The work targets better coordination and role assignment than prior MARL approaches in this domain.

multi-agent/reinforcement-learning/air-combat/research