Research Vision: Multi-Agent Path Planning for Cops And Robbers Via Reactive Synthesis
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Abstract (arXiv)
We propose the problem of multi-agent path planning for a generalization of the classic Cops and Robbers game via reactive synthesis. Specifically, through the application of LTLt and Coordination Synthesis, we aim to check whether various Cops and Robbers games are realizable (a strategy exists for the cops which guarantees they catch the robbers). Additionally, we construct this strategy as an executable program for the multiple system players in our games. In this paper we formalize the problem space, and propose potential directions for solutions. We also show how our formalization of this generalized cops and robbers game can be mapped to a broad range of other problems in the reactive program synthesis space.
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References · 14
- 2024Verification-Guided Shielding for Deep Reinforcement Learningcited by 13
- 2024Shield Synthesis for LTL Modulo Theoriescited by 12
- 2023Boolean Abstractions for Realizability Modulo Theories (Extended version)cited by 9
- 2022Linear Temporal Logic Modulo Theories over Finite Traces (Extended Version)cited by 8
- 2022The Reactive Synthesis Competition (SYNTCOMP): 2018-2021cited by 8
- 2017Validity-Guided Synthesis of Reactive Systems from Assume-Guarantee Contractscited by 6
- 2021GenSys: A Scalable Fixed-point Engine for Maximal Controller Synthesis over Infinite State Spacescited by 4
- 2021Reactive Synthesis Modulo Theories Using Abstraction Refinementcited by 3
- 2023Solving Infinite-State Games via Acceleration (Full Version)cited by 3
- 2024Localized Attractor Computations for Infinite-State Games (Full Version)cited by 3
- 2019Synthesis of coordination programs from linear temporal logiccited by 2
- 2024Predictable and Performant Reactive Synthesis Modulo Theories via Functional Synthesiscited by 2
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