agents

Results: 18910



#Item
91Creating Smart Agents: A Distributed Control Theory for DES Kai Cai Osaka City University

Creating Smart Agents: A Distributed Control Theory for DES Kai Cai Osaka City University

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Source URL: wiki.eecs.umich.edu

Language: English - Date: 2018-01-04 15:37:23
    92July 18, 2014  TO: Patriot Aluminum Conduit Sales Agents

    July 18, 2014 TO: Patriot Aluminum Conduit Sales Agents

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    Source URL: patriotaluminum.com

    Language: English - Date: 2017-01-09 11:28:18
      93Modeling the Production of Co-Verbal Iconic Gestures by Learning Bayesian Decision Networks Kirsten Bergmann and Stefan Kopp Sociable Agents Group, CITEC, Bielefeld University SFB 673 “Alignment in Communication”, Bi

      Modeling the Production of Co-Verbal Iconic Gestures by Learning Bayesian Decision Networks Kirsten Bergmann and Stefan Kopp Sociable Agents Group, CITEC, Bielefeld University SFB 673 “Alignment in Communication”, Bi

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      Source URL: www.techfak.uni-bielefeld.de

      Language: English - Date: 2011-10-06 06:56:31
        94OUR BAY AND RIVERS ON DRUGS pharmaceuticals and illicit drugs as agents of ecological change Emma J. Rosi, Senior Scientist and Director Baltimore Ecosystem Study LTER  Baltimore

        OUR BAY AND RIVERS ON DRUGS pharmaceuticals and illicit drugs as agents of ecological change Emma J. Rosi, Senior Scientist and Director Baltimore Ecosystem Study LTER Baltimore

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        Source URL: www.chesbay.us

        Language: English - Date: 2018-07-25 13:44:23
          95Leitgeb and Pettigrew on Updating Ben Levinstein Abstract Leitgeb and Pettigrew (2010a,b) argue that (1) agents should minimize the expected inaccuracy of their beliefs, and (2) inaccuracy should be measured via the Brie

          Leitgeb and Pettigrew on Updating Ben Levinstein Abstract Leitgeb and Pettigrew (2010a,b) argue that (1) agents should minimize the expected inaccuracy of their beliefs, and (2) inaccuracy should be measured via the Brie

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          Source URL: www.levinstein.org

          Language: English - Date: 2012-05-17 17:39:40
            96Generating 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
              97Models of Beliefs for Boundedly Rational Agents

              Models of Beliefs for Boundedly Rational Agents

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              Source URL: mikael.cozic.free.fr

              Language: English - Date: 2008-08-26 09:51:35
                98B UILDING G ENERALIZABLE AGENTS WITH A R EALISTIC AND R ICH 3D E NVIRONMENT Yi Wu UC Berkeley

                B UILDING G ENERALIZABLE AGENTS WITH A R EALISTIC AND R ICH 3D E NVIRONMENT Yi Wu UC Berkeley

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                Source URL: arxiv.org

                Language: English - Date: 2018-04-09 21:34:20
                  99The Influence of Probabilistic Methodologies on Networking Thomer M. Gil Abstract  tubes. However, the simulation of agents

                  The Influence of Probabilistic Methodologies on Networking Thomer M. Gil Abstract tubes. However, the simulation of agents

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                  Source URL: pdos.csail.mit.edu

                  Language: English - Date: 2005-04-09 16:37:16
                    100Rational Inattention in Scalar LQG Control Ehsan Shafieepoorfard and Maxim Raginsky Abstract— Motivated in part by the “rational inattention” framework of information-constrained decision-making by economic agents,

                    Rational Inattention in Scalar LQG Control Ehsan Shafieepoorfard and Maxim Raginsky Abstract— Motivated in part by the “rational inattention” framework of information-constrained decision-making by economic agents,

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                    Source URL: maxim.ece.illinois.edu

                    Language: English - Date: 2013-09-10 02:03:44