Optimal Mixed Strategies for Cost-Adversarial Planning Games
| Autor: | Rostislav Horčík, Álvaro Torralba, Pavel Rytíř, Lukáš Chrpa, Stefan Edelkamp |
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| Rok vydání: | 2022 |
| Zdroj: | Proceedings of the International Conference on Automated Planning and Scheduling. 32:160-168 |
| ISSN: | 2334-0843 2334-0835 |
| DOI: | 10.1609/icaps.v32i1.19797 |
| Popis: | This paper shows that domain-independent tools from classical planning can be used to model and solve a broad class of game-theoretic problems we call Cost-Adversarial Planning Games (CAPGs). We define CAPGs as 2-player normal-form games specified by a planning task and a finite collection of cost functions. The first player (a planning agent) strives to solve a planning task optimally but has limited knowledge about its action costs. The second player (an adversary agent) controls the actual action costs. Even though CAPGs need not be zero-sum, every CAPG has an associated zero-sum game whose Nash equilibrium provides the optimal randomized strategy for the planning agent in the original CAPG. We show how to find the Nash equilibrium of the associated zero-sum game using a cost-optimal planner via the Double Oracle algorithm. To demonstrate the expressivity of CAPGs, we formalize a patrolling security game and several IPC domains as CAPGs. |
| Databáze: | OpenAIRE |
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