Abstract: Selective maintenance, as a prevalent maintenance policy for engineered systems under limited maintenance resources, has been widely adopted in industrial and military settings. Most ...
Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
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