Bagging strategies for learning planning policies

DOI10.1007/s10472-016-9523-9zbMath1409.68269OpenAlexW2511092730WikidataQ113444964 ScholiaQ113444964MaRDI QIDQ2364365

Raquel Fuentetaja, Tomás de la Rosa

Publication date: 19 July 2017

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-016-9523-9

zbMATH Keywords

machine learningautomated planningaction policiesrelational classifiers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• PDDL

Cites Work

• Bagging predictors
• Learning generalized policies from planning examples using concept languages
• Top-down induction of first-order logical decision trees
• Learning action strategies for planning domains
• Scaling up Heuristic Planning with Relational Decision Trees
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