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Paper

Offline Reinforcement Learning for Warehouse SLAM Throughput Control

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AI summary

arXiv:2606. 23978v1 Announce Type: new Abstract: We present an offline reinforcement learning (RL) framework for optimizing SLAM throughput control in a warehouse fulfillment environment.