Temporal-Numeric Planning with Infinite Domain Action Parameters

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Abstract

A limitation of task planning as a search problem is that action parameters are restricted to take their values from a finite collection of objects defined in a problem instance. In real-world, there are parameters that have freedom of taking their values from infinite domains, which we call control parameters. Planning with control parameters are deemed to be more than just a modelling choice; but it is a modelling requirement in real-world applications. POPCORN is a partially-ordered forward state space search planner that can reason with multiple typed control parameters declared in action schemes. In this paper, we briefly introduce the planning with control parameters paradigm.
Original languageEnglish
Publication statusPublished - Jun 2018

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