Related papers: Planning from video game descriptions

Planning from video game descriptions

URL: http://arxiv.org/abs/2109.00449v1
Date: Wed, 1 Sep 2021 15:49:09 GMT
Title: Planning from video game descriptions
Authors: Ignacio Vellido, Carlos N\'u\~nez-Molina, Vladislav Nikolov, Juan Fdez-Olivares
Abstract summary: Planners use these action models to get the deliberative behaviour for an agent in many different video games. benchmarks of the domains have been produced that can be of interest to the international planning community.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: This project proposes a methodology for the automatic generation of action models from video game dynamics descriptions, as well as its integration with a planning agent for the execution and monitoring of the plans. Planners use these action models to get the deliberative behaviour for an agent in many different video games and, combined with a reactive module, solve deterministic and no-deterministic levels. Experimental results validate the methodology and prove that the effort put by a knowledge engineer can be greatly reduced in the definition of such complex domains. Furthermore, benchmarks of the domains has been produced that can be of interest to the international planning community to evaluate planners in international planning competitions.

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