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On-line learning of macro planning operators using probabilistic estimations of cause-effects

AuthorsWörgötter, Florentin; Celaya, Enric CSIC ; Torras, Carme CSIC ORCID ; Agostini, Alejandro CSIC ORCID
KeywordsOnline learning
Macro planning operator
Constructive learning
Machine learning
Artificial intelligence
Issue Date2008
CitationTechnical Report IRI-TR-08-05, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2008.
AbstractIn this work we propose an on-line learning method for learning action rules for planning. The system uses a probabilistic approach of a constructive induction method that combines a beam search with an example-based search over candidate rules to find those that more concisely describe the world dynamics. The approach permits a rapid integration of the knowledge acquired from experience. Exploration of the world dynamics is guided by the planner, and – if the planner fails because of incomplete knowledge – by a teacher through action instructions.
Appears in Collections:(IRII) Informes y documentos de trabajo

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