Abstract: This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load ...
Abstract: This paper develops a Multi-Agent Deep Reinforcement Learning (MADRL) framework for underwater attack-defense scenarios with constrained sensing/communication. While maintaining balanced ...
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