Using genetic programming to learn and improve control knowledge.

DOI10.1016/S0004-3702(02)00246-1zbMATH Open1043.68084DBLPjournals/ai/AlerBI02OpenAlexW2038719169WikidataQ62043506 ScholiaQ62043506MaRDI QIDQ1852856

Daniel Borrajo, Ricardo Aler, Pedro Isasi

Publication date: 21 January 2003

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(02)00246-1

zbMATH Keywords

PlanningGenetic programmingMulti-strategy learningSpeedup learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Macro-operators: A weak method for learning
• Integrating planning and learning: the PRODIGY architecture
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Related Items (1)

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Uses Software

• Walksat
• Graphplan
• Prodigy
• UCPOP

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