Multi-agent planning

Results: 91



#Item
1Dissertation Abstract: Distributed Privacy-preserving Multi-agent Planning Andrea Bonisoli Univrsit`a degli Studi di Brescia Dipartimento di Ingegneria dell’Informazione Via Branze, Brescia (IT) andrea.bonis

Dissertation Abstract: Distributed Privacy-preserving Multi-agent Planning Andrea Bonisoli Univrsit`a degli Studi di Brescia Dipartimento di Ingegneria dell’Informazione Via Branze, Brescia (IT) andrea.bonis

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Source URL: icaps16.icaps-conference.org

Language: English - Date: 2016-06-09 08:09:19
2A Distributed Online Multi-Agent Planning System (Dissertation Abstract) Rafael C. Cardoso {} Supervisor: Rafael H. Bordini FACIN-PUCRS

A Distributed Online Multi-Agent Planning System (Dissertation Abstract) Rafael C. Cardoso {} Supervisor: Rafael H. Bordini FACIN-PUCRS

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Source URL: icaps16.icaps-conference.org

Language: English - Date: 2016-06-09 08:09:23
3Auton Agent Multi-Agent Syst:1157–1185 DOIs10458Decision-theoretic planning under uncertainty with information rewards for active cooperative perception

Auton Agent Multi-Agent Syst:1157–1185 DOIs10458Decision-theoretic planning under uncertainty with information rewards for active cooperative perception

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Source URL: www.isr.tecnico.ulisboa.pt

Language: English - Date: 2018-02-07 06:25:25
    4A Computational Model of Human Interaction and  Planning for Heterogeneous Multi­Agent Systems Alexandre Pauchet France Telecom R&D  Nathalie Chaignaud

    A Computational Model of Human Interaction and  Planning for Heterogeneous Multi­Agent Systems Alexandre Pauchet France Telecom R&D Nathalie Chaignaud

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    Source URL: asi.insa-rouen.fr

    Language: English - Date: 2017-08-29 07:33:07
      5Effective Robot Teammate Behaviors for Supporting Sequential Manipulation Tasks Bradley Hayes1 and Brian Scassellati1 Abstract— In this work, we present an algorithm for improving collaborator performance on sequential

      Effective Robot Teammate Behaviors for Supporting Sequential Manipulation Tasks Bradley Hayes1 and Brian Scassellati1 Abstract— In this work, we present an algorithm for improving collaborator performance on sequential

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      Source URL: bradhayes.info

      Language: English - Date: 2016-07-11 15:51:31
      6Towards Team Formation via Automated Planning Christian Muise∗ , Frank Dignum† , Paolo Felli∗ , Tim Miller∗ , Adrian R. Pearce∗ , Liz Sonenberg∗ ∗  Department of Computing and Information Systems, Universit

      Towards Team Formation via Automated Planning Christian Muise∗ , Frank Dignum† , Paolo Felli∗ , Tim Miller∗ , Adrian R. Pearce∗ , Liz Sonenberg∗ ∗ Department of Computing and Information Systems, Universit

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      Source URL: www.haz.ca

      Language: English - Date: 2015-06-14 20:55:49
      7Jeffrey S. Rosenschein Rachel and Selim Benin School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem, Israel ph: +

      Jeffrey S. Rosenschein Rachel and Selim Benin School of Computer Science and Engineering The Hebrew University of Jerusalem Jerusalem, Israel ph: +

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      Source URL: www.cs.huji.ac.il

      Language: English - Date: 2016-01-27 03:09:54
      8Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments Alejandro Bordallo1 Fabio Previtali2

      Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments Alejandro Bordallo1 Fabio Previtali2

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      Source URL: rad.inf.ed.ac.uk

      Language: English - Date: 2015-07-31 13:51:57
      9Leveraging FOND Planning Technology to Solve Multi-Agent Planning Problems Christian Muise, Paolo Felli, Tim Miller, Adrian R. Pearce, Liz Sonenberg Department of Computing and Information Systems, University of Melbourn

      Leveraging FOND Planning Technology to Solve Multi-Agent Planning Problems Christian Muise, Paolo Felli, Tim Miller, Adrian R. Pearce, Liz Sonenberg Department of Computing and Information Systems, University of Melbourn

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      Source URL: www.haz.ca

      Language: English - Date: 2015-05-09 01:33:39
      10Reactive Planning Idioms for Multi-Scale Game AI Ben G. Weber, Peter Mawhorter, Michael Mateas, and Arnav Jhala Abstract— Many modern games provide environments in which agents perform decision making at several levels

      Reactive Planning Idioms for Multi-Scale Game AI Ben G. Weber, Peter Mawhorter, Michael Mateas, and Arnav Jhala Abstract— Many modern games provide environments in which agents perform decision making at several levels

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      Source URL: game.itu.dk

      Language: English - Date: 2010-08-10 12:41:00