IEEE

Adversarial Scenario Generation Integrated Distributionally Robust Deep Reinforcement Learning for Survival of Critical Loads

Abstract: Topology reconfiguration (TR) is an efficient resilient defense action to ensure the survival of critical loads (CLs) during sequential extreme events (SEEs). While deep reinforcement ...
IEEE

Data-Driven Reinforcement Learning Tracking of MASs Under Injection Attack: A Controller-Dynamic-Linearization Approach

Abstract: A novel reinforcement learning (RL)-based model-free adaptive control (MFAC) strategy is proposed to address the consensus tracking control issue for multiagent systems subjected to data ...