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#reinforcement learning Book Open access Aug 2026

MoE-Pointer: Seq2Seq Reinforcement Learning for Dynamic Multi-Echelon Pickup-and-Delivery with Courier-Drone Relay

MoE-Pointer is proposed, a unified reinforcement learning framework that reformulates DM-PDP into a sequence-to-sequence generation task and introduces a Prior-Guided Soft Mask to guide exploration within the exponentially large action space.

Rui Bai, Jingyuan Wang, Lu Zhen · 0 citations

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