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Model-free POMDP optimisation of tutoring systems with echo-state networks

Identifieur interne : 001066 ( Main/Exploration ); précédent : 001065; suivant : 001067

Model-free POMDP optimisation of tutoring systems with echo-state networks

Auteurs : Lucie Daubigney [France] ; Matthieu Geist [France] ; Olivier Pietquin [France]

Source :

RBID : Hal:hal-00869773

Abstract

Intelligent Tutoring Systems (ITSs) are now recognised as an interesting alternative for providing learning opportunities in various domains. The Reinforcement Learning (RL) approach has been shown reliable for finding efficient teaching strategies. However, similarly to other human-machine interaction systems such as spoken dialogue systems, ITSs suffer from a partial knowledge of the interlocutor's intentions. In the dialogue case, engineering work can infer a precise state of the user by taking into account the uncertainty provided by the spoken understanding language module. A model-free approach based on RL and Echo State Newtorks (ESNs), which retrieves similar information, is proposed here for tutoring.

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Le document en format XML

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<relation name="UMI2958" active="#struct-441569" type="indirect"></relation>
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<tutelle active="#struct-24541" type="direct">
<org type="laboratory" xml:id="struct-24541" status="VALID">
<idno type="RNSR">200619366D</idno>
<orgName>Georgia Tech - CNRS [Metz]</orgName>
<orgName type="acronym">UMI2958</orgName>
<desc>
<address>
<addrLine>Metz Technopôle 2-3 rue Marconi 57070 METZ</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.umi2958.eu</ref>
</desc>
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<relation active="#struct-242365" type="direct"></relation>
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<relation active="#struct-411575" type="direct"></relation>
<relation name="UMI2958" active="#struct-441569" type="direct"></relation>
</listRelation>
</org>
</tutelle>
<tutelle active="#struct-242365" type="indirect">
<org type="institution" xml:id="struct-242365" status="VALID">
<idno type="IdRef">026403188</idno>
<idno type="ISNI">0000 0001 2188 3779 </idno>
<orgName>Université de Franche-Comté</orgName>
<orgName type="acronym">UFC</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-fcomte.fr</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300289" type="indirect">
<org type="institution" xml:id="struct-300289" status="OLD">
<orgName>Université Paul Verlaine - Metz</orgName>
<orgName type="acronym">UPVM</orgName>
<date type="end">2011-12-31</date>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300413" type="indirect">
<org type="institution" xml:id="struct-300413" status="VALID">
<orgName>Ecole Nationale Supérieure des Arts et Metiers Metz</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300812" type="indirect">
<org type="institution" xml:id="struct-300812" status="VALID">
<orgName>SUPELEC</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-301990" type="indirect">
<org type="institution" xml:id="struct-301990" status="VALID">
<orgName>Georgia Institute of Technology [Atlanta]</orgName>
<desc>
<address>
<addrLine>North Avenue, Atlanta, GA 30332</addrLine>
<country key="US"></country>
</address>
<ref type="url">http://www.gatech.edu/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-301991" type="indirect">
<org type="institution" xml:id="struct-301991" status="VALID">
<orgName>Georgia Tech Lorraine</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-411575" type="indirect">
<org type="institution" xml:id="struct-411575" status="VALID">
<orgName>CentraleSupélec</orgName>
<desc>
<address>
<addrLine>3, rue Joliot Curie,Plateau de Moulon,91192 GIF-SUR-YVETTE Cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.centralesupelec.fr</ref>
</desc>
</org>
</tutelle>
<tutelle name="UMI2958" active="#struct-441569" type="indirect">
<org type="institution" xml:id="struct-441569" status="VALID">
<idno type="ISNI">0000000122597504</idno>
<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc>
<address>
<country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-26305" type="direct">
<org type="laboratory" xml:id="struct-26305" status="VALID">
<orgName>SUPELEC-Campus Metz</orgName>
<desc>
<address>
<addrLine>2 rue Edouard Belin 57070 Metz</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.metz.supelec.fr/metz/</ref>
</desc>
<listRelation>
<relation active="#struct-300812" type="direct"></relation>
</listRelation>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city" wicri:auto="siege">Besançon</settlement>
<region type="region" nuts="2">Franche-Comté</region>
</placeName>
<orgName type="university">Université de Franche-Comté</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Bourgogne Franche-Comté</orgName>
<placeName>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Paul Verlaine - Metz</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
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</teiHeader>
<front>
<div type="abstract" xml:lang="en">Intelligent Tutoring Systems (ITSs) are now recognised as an interesting alternative for providing learning opportunities in various domains. The Reinforcement Learning (RL) approach has been shown reliable for finding efficient teaching strategies. However, similarly to other human-machine interaction systems such as spoken dialogue systems, ITSs suffer from a partial knowledge of the interlocutor's intentions. In the dialogue case, engineering work can infer a precise state of the user by taking into account the uncertainty provided by the spoken understanding language module. A model-free approach based on RL and Echo State Newtorks (ESNs), which retrieves similar information, is proposed here for tutoring.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Franche-Comté</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Besançon</li>
<li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName>
<li>Université Paul Verlaine - Metz</li>
<li>Université de Bourgogne Franche-Comté</li>
<li>Université de Franche-Comté</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree>
<country name="France">
<region name="Grand Est">
<name sortKey="Daubigney, Lucie" sort="Daubigney, Lucie" uniqKey="Daubigney L" first="Lucie" last="Daubigney">Lucie Daubigney</name>
</region>
<name sortKey="Geist, Matthieu" sort="Geist, Matthieu" uniqKey="Geist M" first="Matthieu" last="Geist">Matthieu Geist</name>
<name sortKey="Pietquin, Olivier" sort="Pietquin, Olivier" uniqKey="Pietquin O" first="Olivier" last="Pietquin">Olivier Pietquin</name>
</country>
</tree>
</affiliations>
</record>

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