A scalable preference model for autonomous decision-making

DOI10.1007/s10994-018-5705-5zbMath1461.68234OpenAlexW2800447677WikidataQ129879914 ScholiaQ129879914MaRDI QIDQ1621876

Sinead A. Williamson, Wolfgang Ketter, Markus Peters, Tom Heskes, Maytal Saar-Tsechansky, Perry Groot

Publication date: 12 November 2018

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

Full work available at URL: https://doi.org/10.1007/s10994-018-5705-5

zbMATH Keywords

Gaussian processespreferencesautonomous agentsBayesian inferencediscrete choiceautonomous decision-makingLaplace inference

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Decision theory (91B06) Learning and adaptive systems in artificial intelligence (68T05) Individual preferences (91B08) Agent technology and artificial intelligence (68T42)

Uses Software

• GPstuff
• PRMLT

Cites Work

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• Marketing models of consumer heterogeneity
• Active sampling for class probability estimation and ranking
• Efficiently learning the preferences of people
• Preference Learning
• Efficient Clustering for Orders
• Context-Dependent Preferences
• Discrete Choice Methods with Simulation
• Case-Based Decision Theory

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