Richard S. Sutton

Results: 18



#Item
1Multi-step Bootstrapping Jennifer She Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto February 7, 2017

Multi-step Bootstrapping Jennifer She Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto February 7, 2017

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Source URL: www.cs.ubc.ca

Language: English - Date: 2018-02-06 02:47:52
2Artificial Intelligence–211 Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Richard S. Sutton a,∗ , Doina Precup b , Satinder Singh a

Artificial Intelligence–211 Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Richard S. Sutton a,∗ , Doina Precup b , Satinder Singh a

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Source URL: www-anw.cs.umass.edu

- Date: 2006-04-02 21:00:07
    3Artificial Intelligence–211 Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Richard S. Sutton a,∗ , Doina Precup b , Satinder Singh a

    Artificial Intelligence–211 Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning Richard S. Sutton a,∗ , Doina Precup b , Satinder Singh a

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    Source URL: webdocs.cs.ualberta.ca

    - Date: 2008-03-04 23:12:15
      4Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

      Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton,∗ Hamid Reza Maei,∗ Doina Precup,† Shalabh Bhatnagar,‡ David Silver,∗ Csaba Szepesv´ari,∗ E

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      Source URL: webdocs.cs.ualberta.ca

      - Date: 2009-05-29 17:59:38
        5CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

        CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

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        Source URL: webdocs.cs.ualberta.ca

        Language: English - Date: 2015-04-07 14:18:17
        6GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces Hamid Reza Maei and Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory, University of

        GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces Hamid Reza Maei and Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory, University of

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        Source URL: webdocs.cs.ualberta.ca

        Language: English - Date: 2010-01-22 02:08:08
        7Sample-Based Learning and Search with Permanent and Transient Memories David Silver Richard S. Sutton Martin M¨ uller

        Sample-Based Learning and Search with Permanent and Transient Memories David Silver Richard S. Sutton Martin M¨ uller

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        Source URL: www.machinelearning.org

        Language: English - Date: 2008-05-31 07:01:22
          8CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

          CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

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          Source URL: webdocs.cs.ualberta.ca

          Language: English - Date: 2015-04-07 14:18:17
            9CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

            CURRICULUM VITAE Richard S. Sutton April 2015 Professor, Department of Computing Science, University of Alberta address: Athabasca Hall 2-21, University of Alberta, Edmonton, AB T6G 2E8

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            Source URL: incompleteideas.net

            Language: English - Date: 2015-04-07 14:18:17
            10Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping Richard S. Sutton, Csaba Szepesv´ari, Alborz Geramifard, Michael Bowling Reinforcement Learning and Artificial Intelligence Laboratory Depa

            Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping Richard S. Sutton, Csaba Szepesv´ari, Alborz Geramifard, Michael Bowling Reinforcement Learning and Artificial Intelligence Laboratory Depa

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            Source URL: uai2008.cs.helsinki.fi

            Language: English - Date: 2008-05-16 11:56:59