A reinforcement-learning-controlled adaptive search method finds cheaper pod storage plans than standard heuristics in simulated robotic warehouse tests.
In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)
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Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search
A reinforcement-learning-controlled adaptive search method finds cheaper pod storage plans than standard heuristics in simulated robotic warehouse tests.