M²GRPO uses a Mamba-based policy and normalized group-relative advantages under CTDE to achieve higher pursuit success and capture efficiency than MAPPO and recurrent baselines in simulations and pool tests.
Particle swarm optimization algorithm for the optimization of rescue task allocation with uncertain time constraints,
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M$^{2}$GRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit
M²GRPO uses a Mamba-based policy and normalized group-relative advantages under CTDE to achieve higher pursuit success and capture efficiency than MAPPO and recurrent baselines in simulations and pool tests.