Reinforcement learning

Results: 1147



#Item
21Belief 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
    22Inverse 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
      23Model-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
        24Deep 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
          25Machine 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
            26Supporting 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
              27Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents Gabriel V. de la Cruz Jr. Bei Peng

              Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents Gabriel V. de la Cruz Jr. Bei Peng

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              Source URL: web.eecs.umich.edu

              Language: English - Date: 2018-01-09 09:32:29
                28Linear Reinforcement Learning with Options Kamil Andrzej Ciosek A dissertation submitted in partial fulfillment of the requirements for the degree of

                Linear Reinforcement Learning with Options Kamil Andrzej Ciosek A dissertation submitted in partial fulfillment of the requirements for the degree of

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                Source URL: www.ciosek.net

                Language: English
                  29Online Constrained Model-based Reinforcement Learning Benjamin van Niekerk School of Computer Science University of the Witwatersrand South Africa

                  Online Constrained Model-based Reinforcement Learning Benjamin van Niekerk School of Computer Science University of the Witwatersrand South Africa

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                  Source URL: www.benjaminrosman.com

                  Language: English - Date: 2017-09-28 06:32:24
                    30Two-day seminar on Stochastic Dynamic Programming and Temporal Difference Reinforcement Learning Hino Campus, Tokyo Metropolitan University （首都大学東京日野キャンパス）

                    Two-day seminar on Stochastic Dynamic Programming and Temporal Difference Reinforcement Learning Hino Campus, Tokyo Metropolitan University （首都大学東京日野キャンパス）

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                    Source URL: www.comp.sd.tmu.ac.jp

                    Language: English - Date: 2016-10-23 21:40:21