Personal Information
Organization / Workplace
Paris Area, France France
Occupation
Machine learning scientist
Industry
Technology / Software / Internet
About
My main research interest is in the old goal of Artificial Intelligence (AI) which is building autonomous system that can learn to be broadly competent in dynamic and uncertain environments. The field of reinforcement learning (RL) has focused on this goal, which is different from supervised learning in that correct input/output pairs are never presented. Further, there is a focus on online performance, which involves finding a balance between exploration (exploring action for increasing the knowledge about the environment) and exploitation (of current knowledge).
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Tags
recommender system; machine learning; exploration/
hybrid-e-greedy
recommender systems
bandit algorithm
exploration exploitation
context-aware
recommender system
temporal inference
question answering system
information retrieval.
recognizing of textual entailment
natural language processing
inf茅rence temporelle
recherche d鈥焛nformation
reconnaissance d鈥焛nf茅rence textuelle
syst猫me question r茅ponse
traitement du langage naturel
evolution user intrest
learning; inference engine; ubiquitous ;recommende
l鈥檃pprentissage automatique; l鈥檃daptation des
recommender system; context
mobile; machine learning; exploration/exploitation
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