Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Author:
Affiliation:
1. University of California,Computer Science and Engineering Department,San Diego
2. University of Cam-bridge,Department of Computer Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161018.pdf?arnumber=10161018
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1. PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
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4. Ctrms: Learning to construct cooperative timed roadmaps for multi -agent path planning in continuous spaces;okumura;ArXiv Preprint,2022
5. Branch-and-cut-and-price for multi-agent path finding
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