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dc.contributor | Institut de Robòtica i Informàtica Industrial |
---|---|
dc.contributor | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.contributor.author | Martínez Martínez, David |
dc.contributor.author | Alenyà Ribas, Guillem |
dc.contributor.author | Torras, Carme |
dc.date | 2015 |
dc.identifier.citation | Martínez, D., Alenyà, G., Torras, C. V-MIN: efficient reinforcement learning through demonstrations and relaxed reward demands. A: AAAI Conference on Artificial Intelligence. "Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence". Austin: 2015, p. 2857-2863. |
dc.identifier.uri | http://hdl.handle.net/2117/84917 |
dc.language.iso | eng |
dc.relation | http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9634/9952 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject | learning (artificial intelligence) |
dc.subject | uncertainty handling |
dc.subject | reinforcement learning |
dc.subject | active learning |
dc.subject | model-based reinforcement learning |
dc.subject | Classificació INSPEC::Cybernetics::Artificial intelligence |
dc.title | V-MIN: efficient reinforcement learning through demonstrations and relaxed reward demands |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
dc.description.abstract |