Smart Commander applies hierarchical reinforcement learning to optimize sequential maintenance, sortie generation, and resource allocation decisions across a military aircraft fleet, outperforming flat DRL and rule-based methods in a custom simulation.
Reinforcement learning for dynamic condition-based maintenance of a system with individually repairable components.Quality Engineering, 32(3):388–408
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Smart Commander: A Hierarchical Reinforcement Learning Framework for Fleet-Level PHM Decision Optimization
Smart Commander applies hierarchical reinforcement learning to optimize sequential maintenance, sortie generation, and resource allocation decisions across a military aircraft fleet, outperforming flat DRL and rule-based methods in a custom simulation.