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Beihang KDD 2026 paper proposes MoE-Pointer, using Seq2Seq reinforcement learning to jointly optimize rider-drone relay delivery

Professor Wang Jingyuan's team at Beihang University, together with the School of Management at Shanghai University, published the paper MoE-Pointer at KDD 2026, defining the Dynamic Multi-Stage Pickup and Delivery Problem (DM-PDP) and using a sequence-to-sequence generation framework to achieve end-to-end reinforcement learning joint optimization of a three-stage rider-drone delivery chain.

Part of the event: Beihang Team Proposes Rider-Drone Relay Delivery Solution Framework MoE-Pointer, Published at KDD 2026

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