Author

Max Z. J. Shen

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#artificial intelligence Preprint Aug 2026

Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems

A transport-network-aware dynamic congestion representation that serves as costs in a risk-constrained route-scheduling rule that minimizes predicted delivery time subject to a bound on extreme-congestion probability, embedding the learned predictors within a lightweight operations-research decision model.

Hao Yin, Mei-Qi Tu, An-Bang Liu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems

This work proposes Neural Double Q-routing, which replaces destination-indexed tables with a shared state--action value network, and achieves the lowest mean completion time among all compared methods in the six 150- and 200-OHT settings, whereas Dijkstra remains best in the three 100-OHT settings.

Chen-Feng Gu, Qiu-Sheng Zhao, An-Bang Liu et al. · 0 citations