activity
20222026
most citedDeep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

49 citations · 110 across the 10 of their papers we have counts for

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cs.LG2026

A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems

Maryam Ahang, Todd Charter, Masoud Jalayer +1

Hybrid approaches that combine data-driven learning with physics-based insight have shown promise for improving the reliability of industrial condition monitoring. This work develo…