<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/idsia/artificial,"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/idsia/artificial,</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2a92d3c4268771d41b2e7085d4c5f1dc4/idsia"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2a92d3c4268771d41b2e7085d4c5f1dc4/idsia"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://arxiv.org/abs/cs.AI/0111060"/><swrc:date>Tue Mar 11 14:52:34 CET 2008</swrc:date><swrc:booktitle>Proc. 5th European Workshop on Reinforcement Learning (EWRL-5)</swrc:booktitle><swrc:pages>27--29</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Onderwijsinsituut CKI, Utrecht Univ."/></swrc:publisher><swrc:title>Gradient-based Reinforcement Planning in Policy-Search Methods</swrc:title><swrc:volume>27</swrc:volume><swrc:year>2001</swrc:year><swrc:keywords>juergen, intelligence, decent, search gradient, reinforcement, direct, planning, artificial, policy, learning, </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2382183" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2" swrc:key="priority"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Ivo Kwee"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Marcus Hutter"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Juergen Schmidhuber"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2b6b01f644bf44596771229883de4f8b4/idsia"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2b6b01f644bf44596771229883de4f8b4/idsia"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://www.hutter1.de/ai/pdecision.htm"/><swrc:date>Tue Mar 11 14:52:34 CET 2008</swrc:date><swrc:booktitle>Proc. 5th European Workshop on Reinforcement Learning (EWRL-5)</swrc:booktitle><swrc:pages>25--26</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Onderwijsinsituut CKI, Utrecht Univ."/></swrc:publisher><swrc:title>Universal Sequential Decisions in Unknown Environments</swrc:title><swrc:volume>27</swrc:volume><swrc:year>2001</swrc:year><swrc:keywords>artificial, intelligence, sequential, induction, rational, kolmogorov, theory, solomonoff, agents, complexity, learning, reinforcement, algorithmic, juergen, probability, decision, universal computational, </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2382184" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2" swrc:key="priority"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="M. Hutter"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>