Dynamic programming

Results: 2450



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11Proposal 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
    12One-week intensive course on ``Introduction to Dynamic Programming and Optimal Control’’ Hino Campus, Tokyo Metropolitan University（首都大学東京 for 9:40 am –

    One-week intensive course on ``Introduction to Dynamic Programming and Optimal Control’’ Hino Campus, Tokyo Metropolitan University（首都大学東京 for 9:40 am –

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

    Language: English
      13Session 5 Relaxed dynamic programming and Q-learning Reading assignment Check the main results and examples of these papers. • Lincoln/Rantzer, TAC 51:)

      Session 5 Relaxed dynamic programming and Q-learning Reading assignment Check the main results and examples of these papers. • Lincoln/Rantzer, TAC 51:)

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      Source URL: control.lth.se

      Language: English - Date: 2017-05-05 09:59:31
        14Today’s Lecture • Dynamic programming to find highest weight paths • Weighted linked lists – Sequence graphs – WLLs for “motif clusters”

        Today’s Lecture • Dynamic programming to find highest weight paths • Weighted linked lists – Sequence graphs – WLLs for “motif clusters”

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        Source URL: bozeman.mbt.washington.edu

        Language: English - Date: 2018-01-26 13:49:37
          15Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks Hao Zhang† , Shizhen Xu† , Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing arXiv:1712.04048v1 [cs.LG] 11 Dec 2017

          Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks Hao Zhang† , Shizhen Xu† , Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing arXiv:1712.04048v1 [cs.LG] 11 Dec 2017

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          Source URL: arxiv.org

          Language: English - Date: 2017-12-12 20:21:27
            16L5: Relaxed dynamic programming and Q-learning • Relaxed Dynamic Programming

            L5: Relaxed dynamic programming and Q-learning • Relaxed Dynamic Programming

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            Source URL: control.lth.se

            Language: English - Date: 2017-05-05 10:05:35
              17Model Predictive Control Anders Hansson October 7, 2010 It is well-known that it is complicated to derive optimal control in feedback form. Usually one has to solve the dynamic programming or Bellman equation,

              Model Predictive Control Anders Hansson October 7, 2010 It is well-known that it is complicated to derive optimal control in feedback form. Usually one has to solve the dynamic programming or Bellman equation,

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              Source URL: www.control.isy.liu.se

              Language: English - Date: 2018-04-05 06:17:31
                18REPORT LIDS-3204, JUNEREVISED, NOVEMBERAffine Monotonic and Risk-Sensitive Models in Dynamic Programming

                REPORT LIDS-3204, JUNEREVISED, NOVEMBERAffine Monotonic and Risk-Sensitive Models in Dynamic Programming

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                Source URL: web.mit.edu

                Language: English - Date: 2017-11-28 00:15:15
                  19Truncated Approximate Dynamic Programming With Task-Dependent Terminal Value Amir-massoud Farahmand and Daniel N. Nikovski Mitsubishi Electric Research Laboratories Cambridge, MA, USA

                  Truncated Approximate Dynamic Programming With Task-Dependent Terminal Value Amir-massoud Farahmand and Daniel N. Nikovski Mitsubishi Electric Research Laboratories Cambridge, MA, USA

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                  Source URL: www.sologen.net

                  Language: English - Date: 2015-12-22 14:17:02
                    20Dynamic Programming on Tree Decompositions in Practice Some Lessons Learned Stefan Woltran TU Wien (Vienna University of Technology)

                    Dynamic Programming on Tree Decompositions in Practice Some Lessons Learned Stefan Woltran TU Wien (Vienna University of Technology)

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                    Source URL: www.dbai.tuwien.ac.at

                    Language: English - Date: 2015-09-23 09:01:47