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Controller Synthesis for Timeline-based Games

作者
Renato Acampora,Luca Geatti,Nicola Gigante,Angelo Montanari,Valentino Picotti
出处
期刊:Cornell University - arXiv [Cornell University]
标识
DOI:10.48550/arxiv.2307.12289
摘要

In the timeline-based approach to planning, the evolution over time of a set of state variables (the timelines) is governed by a set of temporal constraints. Traditional timeline-based planning systems excel at the integration of planning with execution by handling temporal uncertainty. In order to handle general nondeterminism as well, the concept of timeline-based games has been recently introduced. It has been proved that finding whether a winning strategy exists for such games is 2EXPTIME-complete. However, a concrete approach to synthesize controllers implementing such strategies is missing. This paper fills this gap, by providing an effective and computationally optimal approach to controller synthesis for timeline-based games.

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