We introduce Strategy Repair, the problem of finding a minimal amount of modifications to turn a strategy for a reachability game from losing into winning. The problem is relevant for a number of settings in Planning and Synthesis, where solutions essentially correspond to winning strategies in a suitably defined reachability game. We show, via reduction from Vertex Cover, that Strategy Repair is NP-complete and devise two algorithms, one optimal and exponential and one polynomial but sub-optimal, which we compare experimentally. The reported experimentation includes some heuristics for strategy modification, which proved crucial in dramatically improving performance.
Strategy Repair in Reachability Games / Gaillard, Pierre; Patrizi, Fabio; Perelli, Giuseppe. - 372:(2023), pp. 780-787. (Intervento presentato al convegno European Conference on Artificial Intelligence tenutosi a Kraków; Poland) [10.3233/FAIA230344].
Strategy Repair in Reachability Games
Fabio Patrizi;Giuseppe Perelli
2023
Abstract
We introduce Strategy Repair, the problem of finding a minimal amount of modifications to turn a strategy for a reachability game from losing into winning. The problem is relevant for a number of settings in Planning and Synthesis, where solutions essentially correspond to winning strategies in a suitably defined reachability game. We show, via reduction from Vertex Cover, that Strategy Repair is NP-complete and devise two algorithms, one optimal and exponential and one polynomial but sub-optimal, which we compare experimentally. The reported experimentation includes some heuristics for strategy modification, which proved crucial in dramatically improving performance.File | Dimensione | Formato | |
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Note: DOI 10.3233/FAIA230344
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