Continuous optimisation problem and game theory for multi-agent pathfinding
Alexander V. Kuznetsov (),
Andrew Schumann () and
Małgorzata Rataj ()
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Alexander V. Kuznetsov: V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
Andrew Schumann: University of Information Technology and Management
Małgorzata Rataj: University of Information Technology and Management
International Journal of Game Theory, 2024, vol. 53, issue 1, No 1, 41 pages
Abstract:
Abstract In the article, we studied the continuous problem for multi-agent pathfinding. We show continuity of the path-traversing time functional and the existence of the optimal path for a single agent. Also, we consider game theory interpretation for multi-agent pathfinding with continuous routes as a game with strategies in a Banach space. Finally, we briefly discuss near-optimal routes and connection of heuristics for pathfinding and integral geometry problems.
Keywords: Multi-agent pathfinding; Game theory; Massive-parallel games; Continuous optimisation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:jogath:v:53:y:2024:i:1:d:10.1007_s00182-023-00851-6
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DOI: 10.1007/s00182-023-00851-6
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