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A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs

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  • Karwowski, Jan
  • Mańdziuk, Jacek

Abstract

In this paper, we propose an evader-defender type of game for modeling multi-step patrolling scenarios on a graph. The game utilizes a specifically designed graph-based setting which captures spatial arrangements of the protected area, for instance industrial premises or warehouses, wherein certain valuable assets are stored. The game is played by two sides: the evader who attempts to steal or destroy the assets and the defender whose aim is to intercept the evader and prevent him/her from accomplishing his/her goal.

Suggested Citation

  • Karwowski, Jan & Mańdziuk, Jacek, 2019. "A Monte Carlo Tree Search approach to finding efficient patrolling schemes on graphs," European Journal of Operational Research, Elsevier, vol. 277(1), pages 255-268.
    • Handle: RePEc:eee:ejores:v:277:y:2019:i:1:p:255-268
    DOI: 10.1016/j.ejor.2019.02.017
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    Cited by:

    1. Deniz Preil & Michael Krapp, 2022. "Artificial intelligence-based inventory management: a Monte Carlo tree search approach," Annals of Operations Research, Springer, vol. 308(1), pages 415-439, January.
    2. Wang, Jian & Cui, Lei, 2023. "Patrolling games with coordination between monitoring devices and patrols," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    3. Casorrán, Carlos & Fortz, Bernard & Labbé, Martine & Ordóñez, Fernando, 2019. "A study of general and security Stackelberg game formulations," European Journal of Operational Research, Elsevier, vol. 278(3), pages 855-868.

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