The Bandit

Results: 87



#Item
1

The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu, Diego Perez-Liebana and Simon M. Lucas University of Essex, Colchester, UK Email: {kkunan, rdgain

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Source URL: www.diego-perez.net

Language: English - Date: 2017-03-23 19:41:34
    2

    Supplementary Material for ”Combinatorial multi-armed bandit: general framework, results and applications”, by Wei Chen, Yajun Wang, and Yang Yuan. A. Full proof of Theorem 1 We use the following two well known bound

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    Source URL: proceedings.mlr.press

    Language: English - Date: 2018-07-16 03:38:06
      3

      Using Bandit Algorithms on Changing Reward Rates Introduction One of the problems we have at System1 is updating our estimate of a feature’s performance over time. Even if our initial estimate is correct, the performan

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      Source URL: www.system1.com

      Language: English - Date: 2018-07-13 19:30:08
        4

        THE NON-BAYESIAN RESTLESS MULTI-ARMED BANDIT: A CASE OF NEAR-LOGARITHMIC REGRET Wenhan Dai†∗ , Yi Gai‡ , Bhaskar Krishnamachari‡ , Qing Zhao§ † School of Information Science and Technology, Tsinghua Universit

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        Source URL: ceng.usc.edu

        Language: English - Date: 2011-10-16 14:12:22
          5

          Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards arXiv:1007.2238v2 [math.OC] 26 JulCem Tekin, Mingyan Liu

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          Source URL: arxiv.org

          Language: English - Date: 2010-07-26 20:13:34
            6

            Boosting with Online Binary Learners for the Multiclass Bandit Problem Shang-Tse Chen School of Computer Science, Georgia Institute of Technology, Atlanta, GA SCHEN 351@ GATECH . EDU

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            Source URL: jmlr.org

            - Date: 2014-02-16 19:30:21
              7

              Approximations of the Restless Bandit Problem ¨ Steffen Grunew¨ alder S . GRUNEWALDER @ LANCASTER . AC . UK

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              Source URL: ewrl.files.wordpress.com

              - Date: 2016-11-21 10:27:48
                8

                An optimal algorithm for the Thresholding Bandit Problem Andrea Locatelli Maurilio Gutzeit Alexandra Carpentier Department of Mathematics, University of Potsdam, Germany

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                Source URL: jmlr.org

                - Date: 2016-10-08 19:36:38
                  9

                  On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards Yi Gai∗ , Bhaskar Krishnamachari∗ and Mingyan Liu‡ ∗ ‡

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                  Source URL: www-scf.usc.edu

                  - Date: 2011-07-08 03:24:20
                    10

                    THE NON-BAYESIAN RESTLESS MULTI-ARMED BANDIT: A CASE OF NEAR-LOGARITHMIC REGRET Wenhan Dai†∗ , Yi Gai‡ , Bhaskar Krishnamachari‡ , Qing Zhao§ † School of Information Science and Technology, Tsinghua Universit

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                    Source URL: www-scf.usc.edu

                    - Date: 2011-02-13 17:38:25
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