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.
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