RPL LEARN : Extending an Autonomous Robot Control Language to Perform Experience-based Learning

Abstract : In this paper, we extend the autonomous robot control and plan language RPL with constructs for specifying experiences , control tasks, learning systems and their param-eterization, and exploration strategies. Using these constructs , the learning problems can be represented explicitly and transparently and become executable. With the extended language we rationally reconstruct parts of the AG-ILO autonomous robot soccer controllers and show the feasibility and advantages of our approach.
Type de document :
Communication dans un congrès
3rd International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS-2004), Jul 2004, New York, United States. ACM, AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 pp.1022-1029, 〈http://dl.acm.org/citation.cfm?id=1018411〉. 〈10.1109/AAMAS.2004.2〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01306985
Contributeur : Alexandra Kirsch <>
Soumis le : mardi 26 avril 2016 - 09:06:30
Dernière modification le : mardi 26 avril 2016 - 10:33:08
Document(s) archivé(s) le : mardi 15 novembre 2016 - 12:07:30

Fichier

bee04rpl.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Michael Beetz, Alexandra Kirsch, Armin Müller. RPL LEARN : Extending an Autonomous Robot Control Language to Perform Experience-based Learning. 3rd International Joint Conference on Autonomous Agents & Multi Agent Systems (AAMAS-2004), Jul 2004, New York, United States. ACM, AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 pp.1022-1029, 〈http://dl.acm.org/citation.cfm?id=1018411〉. 〈10.1109/AAMAS.2004.2〉. 〈hal-01306985〉

Partager

Métriques

Consultations de la notice

40

Téléchargements de fichiers

63