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Proceedings of The 4th Workshop on Machine Learning for Interactive Systems (MLIS­2015)

Authors :
Cuayáhuitl, Heriberto
Dethlefs, Nina
Frommberger, Lutz
Van Otterlo, Martijn
Pietquin, Olivier
Heriot-Watt University [Edinburgh] (HWU)
University of Hull [United Kingdom]
Universität Bremen
Radboud University [Nijmegen]
Sequential Learning (SEQUEL)
Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Institut Universitaire de France (IUF)
Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
Université de Lille, Sciences et Technologies
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Heriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Martijn Van Otterlo, Olivier Pietquin
Radboud university [Nijmegen]
Source :
43, 2015, JMLR Workshop and Conference Proceedings, Jul 2015, Lille, France. 43, 2015, JMLR Workshop and Conference Proceedings
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; The goal of this workshop is to bring researchers from multiple disciplines together who are in one way or another affected by the gap between perception, action and communication that typically exists for data-driven interactive systems or robots. We aim to provide a forum for interdisciplinary discussion that allows researchers to look at their work from new perspectives that go beyond their core community and potentially develop new interdisciplinary collaborations driven by machine learning. A multidisciplinary viewpoint is important to develop agents with a holistic perspective of the world. This is also vital for the design of agents that solve large-scale and complex real-world problems in a principled way. Machine learning will stand at the core of the workshop as a common interest across researchers.

Details

Language :
English
Database :
OpenAIRE
Journal :
43, 2015, JMLR Workshop and Conference Proceedings, Jul 2015, Lille, France. 43, 2015, JMLR Workshop and Conference Proceedings
Accession number :
edsair.dedup.wf.001..691b7c6c04acf7549aa870c0538c6d9a