Heterogeneous Multi-Agent Autonomous Learning and Safe Cooperative Decision-Making
Unmanned surface and underwater vehicles face challenges in autonomously learning cooperative encirclement for high-value targets under partial observability, intermittent communication, and collision risks. This paper proposes a heterogeneous multi-agent reinforcement learning framework with safe decisionmaking. The f...