Author

Fumimaro Suzuki

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Preprint Oct 2026

Map-Distribution Mixture-of-Experts for Multi-Agent Pathfinding

This study explores a meta-level Mixture-of-Experts (MoE) approach to learning-based MAPF, where given a collection of compact yet high-performing experts specialised for different map distributions, the architecture learns a router that selectively fuses their outputs according to each agent's local situation.

Fumimaro Suzuki, Keisuke Okumura · 0 citations