Csaba Szepesvári

Csaba SzepesváriCsaba Szepesvári is a Professor in the Department of Computing Science at the University of Alberta and a Principal Investigator of the Alberta Machine Intelligence Institute. He also leads the 'Foundations' team at DeepMind. He has co-authored a boo on nonlinear approximate adaptive controllers and authored a book on reinforcement learning, in addition to publishing over 200 journal and conference papers. He is an action editor of the Journal of Machine Learning Research. Read More Read Less

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1.
Algorithms for Reinforcement Learning35 %
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07 Jul 2010
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2.
Performance of Nonlinear Approximate Adaptive Controllers
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25 Apr 2003
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Bandit AlgorithmsNR
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Release:
16 Jul 2020
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Algorithmic Learning Theory27 % NR
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23 Sep 2011
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Performance of Nonlinear Approximate Adaptive Controllers4 % NR
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Release:
28 Jan 2005
Language:
English
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