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Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator Attacks
Distributed learning control for multirobot systems (MRS) offers significant flexibility in presence of uncertainties but lacks provable performance guarantees. A promising direction involves integrating reinforcement learning (RL) into distributed model predictive control (DMPC), leveraging the str
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