Controller Synthesis for Timeline-based Games
Acampora, Renato, Geatti, Luca, Gigante, Nicola, Montanari, Angelo, Picotti, Valentino
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jul-23-2023
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