Northeastern's SA-MARL Improves Underwater Drone Swarm Coordination by 22 Points

Northeastern researchers report that SA-MARL, a dual-critic reinforcement learning approach, improves underwater robot swarm target tracking by 22 points despite limited acoustic bandwidth and changing network topology.

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2026-10-30 01:17 · AlphaSignal
Northeastern's SA-MARL Beats Underwater Drone Swarm Coordination by 22 Points

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