Reinforcement

Results: 2688



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21Proposal for a Special Session at the 2018 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL’2018) Special Session Title: Deep Learning and Reinforcement Learning for Games Organized by Y

Proposal for a Special Session at the 2018 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL’2018) Special Session Title: Deep Learning and Reinforcement Learning for Games Organized by Y

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Source URL: ieee-ssci2018.org

Language: English - Date: 2018-06-13 00:40:48
    22Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

    Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

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    Source URL: sologen.net

    Language: English - Date: 2018-06-07 18:37:02
      23Intensional data management Reinforcement learning Applications

      Intensional data management Reinforcement learning Applications

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      Source URL: pierre.senellart.com

      Language: English - Date: 2018-02-22 10:28:35
        24TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow Danijar Hafner∗, James Davidson, Vincent Vanhoucke arXiv:1709.02878v1 [cs.LG] 8 Sep 2017

        TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow Danijar Hafner∗, James Davidson, Vincent Vanhoucke arXiv:1709.02878v1 [cs.LG] 8 Sep 2017

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        Source URL: arxiv.org

        Language: English - Date: 2017-09-11 20:33:31
          25Belief Reward Shaping in Reinforcement Learning Ofir Marom1 , Benjamin Rosman 1 , 2 1 2

          Belief Reward Shaping in Reinforcement Learning Ofir Marom1 , Benjamin Rosman 1 , 2 1 2

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          Source URL: www.benjaminrosman.com

          Language: English - Date: 2017-12-08 04:41:03
            26Inverse Reinforcement Learning for Robotic Arm Control Edward Wagstaff, Dushyant Rao, Markus Wulfmeier, Ingmar Posner Overview We wish to derive a control policy for a robotic arm to perform a task (e.g. grasping an obje

            Inverse Reinforcement Learning for Robotic Arm Control Edward Wagstaff, Dushyant Rao, Markus Wulfmeier, Ingmar Posner Overview We wish to derive a control policy for a robotic arm to perform a task (e.g. grasping an obje

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            Source URL: aims.robots.ox.ac.uk

            Language: English - Date: 2017-11-29 06:38:18
              27Model-based and Model-free Reinforcement Learning for Visual Servoing Amir massoud Farahmand, Azad Shademan, Martin J¨agersand, and Csaba Szepesv´ari Abstract— To address the difficulty of designing a controller for

              Model-based and Model-free Reinforcement Learning for Visual Servoing Amir massoud Farahmand, Azad Shademan, Martin J¨agersand, and Csaba Szepesv´ari Abstract— To address the difficulty of designing a controller for

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              Source URL: www.sologen.net

              Language: English - Date: 2012-11-24 12:20:21
                28Deep Reinforcement Learning for Partial Differential Equation Control Amir-massoud Farahmand, Saleh Nabi, Daniel N. Nikovski Abstract— This paper develops a data-driven method for control of partial differential equati

                Deep Reinforcement Learning for Partial Differential Equation Control Amir-massoud Farahmand, Saleh Nabi, Daniel N. Nikovski Abstract— This paper develops a data-driven method for control of partial differential equati

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                Source URL: sologen.net

                Language: English - Date: 2017-07-05 14:45:32
                  29Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1

                  Machine Learning manuscript No. (will be inserted by the editor) Model Selection in Reinforcement Learning Amir-massoud Farahmand1 , Csaba Szepesv´ ari1

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                  Source URL: www.sologen.net

                  Language: English - Date: 2014-10-15 20:28:00
                    30Supporting Information Reinforcement learning model We fitted choices on the two-step tasks to an established and validated dual-system reinforcement-learning model (Daw, Gershman, Seymour, Dayan, & Dolan, 2011; Daw, Niv

                    Supporting Information Reinforcement learning model We fitted choices on the two-step tasks to an established and validated dual-system reinforcement-learning model (Daw, Gershman, Seymour, Dayan, & Dolan, 2011; Daw, Niv

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                    Source URL: gershmanlab.webfactional.com

                    Language: English - Date: 2017-04-12 09:02:35