Combining latent learning with dynamic programming in the modular anticipatory classifier system

DOI10.1016/J.EJOR.2003.10.004zbMath1061.90081OpenAlexW2043247548MaRDI QIDQ1885752

P. Gérard, Jean-Arcady Meyer, Olivier Sigaud

Publication date: 12 November 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2003.10.004

zbMATH Keywords

Artificial intelligenceDynamic programmingReinforcement learningLatent learningLearning classifier systems

Mathematics Subject Classification ID

Dynamic programming (90C39) Operations research and management science (90B99)

Related Items (2)

Learning classifier systems: a survey ⋮ Limitations of learning in automata-based systems

Uses Software

• YACS

Cites Work

• Multicriteria analysis: Survey and new directions
• Multicriteria decision making: advances in MCDM models, algorithms, theory, and applications
• Learning classifier systems from a reinforcement learning perspective
• YACS: A new learning classifier system using anticipation
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