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Descripción
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| Asaresultofterroristattacksinthelastyears,neweffortshaveraisedtryingtosolvechallengesrelatedtose- curitytaskautomationusingroboticplatforms.Inthispaperwepresenttheresultsofacooperativemulti-robot approachforinfrastructuresecurityapplicationsatcriticalfacilities.WeformulateourproblemusingaMs. Pac-Maclikeenvironment.Inthisimplementation,multipleroboticagentsdefinepolicieswiththeobjectiveto increasethenumberofexploredstatesinagridworld.Thisisthroughtheapplicationoftheoff-policylearning algorithmfromreinforcementlearningarea,knownas Q-learning. Wevalidateexperimentallyourapproach withagroupofagentslearningapatroltaskandwepresentresultsobtainedinsimulatedenvironments. | |
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Internacional
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Si |
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Nombre congreso
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ICAART 2012 - International Conference on Agents and Artificial Intelligence |
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Tipo de participación
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960 |
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Lugar del congreso
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Portugal |
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Revisores
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Si |
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ISBN o ISSN
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978-98-9842-596-6 |
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DOI
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10.5220/0003721403130316 |
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Fecha inicio congreso
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06/02/2012 |
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Fecha fin congreso
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08/02/2012 |
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Desde la página
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313 |
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Hasta la página
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316 |
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Título de las actas
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Proceedings of the 4th International Conference on Agents and Artificial Intelligence |