Dimension reduction and its application to model-based exploration in continuous spaces

DOI10.1007/S10994-010-5202-YzbMath1470.68153OpenAlexW2087400813MaRDI QIDQ1959610

Ali Nouri, Michael L. Littman

Publication date: 7 October 2010

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-010-5202-y

zbMATH Keywords

dimension reductionkernel regressionreinforcement learningexploration

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Artificial intelligence for robotics (68T40)

Related Items (1)

Model-based Reinforcement Learning: A Survey

Cites Work

• The complexity of dynamic programming
• Principal component analysis.
• Kernel dimension reduction in regression
• 10.1162/153244303765208377
• Learning Representation and Control in Markov Decision Processes: New Frontiers

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