Open AccessGaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
Author(s) -
Chun Kai Ling,
Kian Hsiang Low,
Patrick Jaillet
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10210
Subject(s) - uncountable set , lipschitz continuity , bayesian optimization , gaussian process , computer science , flexibility (engineering) , mathematical optimization , bayesian probability , asymptotically optimal algorithm , gaussian , class (philosophy) , set (abstract data type) , artificial intelligence , mathematics , countable set , discrete mathematics , mathematical analysis , statistics , physics , quantum mechanics , programming language
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