Optimal strategies for large-scale pursuers against one evader: a mean field game-based hierarchical control approach

DOI10.1016/j.sysconle.2023.105697OpenAlexW4389427241MaRDI QIDQ6131481

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Publication date: 5 April 2024

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2023.105697

zbMATH Keywords

neural networkspursuit-evasion gamehierarchical controlmean field gamelarge-scale agents

Mathematics Subject Classification ID

Hierarchical systems (93A13) Positional games (pursuit and evasion, etc.) (91A24) Mean field games and control (49N80) Mean field games (aspects of game theory) (91A16)

Cites Work

• Unnamed Item
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• Mean Field Games for Modeling Crowd Motion
• Multiplayer Reach-Avoid Games via Pairwise Outcomes
• Distributed Optimal Coordination for Heterogeneous Linear Multiagent Systems
• Distributed region following and perimeter surveillance tasks in star-shaped sets

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