CA-MARL: credit-aware multi-agent reinforcement learning for USV pursuit–evasion missions under complex maritime disturbances
A Credit-Aware Multi-Agent Reinforcement Learning (CA-MARL) framework for multi-USV pursuit–evasion missions, which features two key innovations: a Residual Self-Attention module that adapts to varying fleet sizes through permutation-invariant attention, and a Mixed Credit Assignment module that enhances centralised va...