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UID:86@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20240321T140000
DTEND;TZID=Europe/Paris:20240321T150000
DTSTAMP:20240318T164222Z
URL:https://www.cran.univ-lorraine.fr/events/seminaire-lucian-busoniu/
SUMMARY:Seminaire Lucian Busoniu
DESCRIPTION:-Teams link : https://teams.microsoft.com/l/meetup-join/19%3ame
 eting_M2I2NzE3MmYtNDYwOS00YzU3LTg4NzEtNDI0ODNjODlmMTkz%40thread.v2/0?conte
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 a%22955ae724-3c70-4f81-8a92-327e1dc5af57%22%7d\n- Titre : Learning and opt
 imization for robotic search and mapping\n\n- Résumé : Machine learning 
 has made great strides in the past decades\, and its impact in control is 
 increasingly being felt. In the first part of this talk\, we will briefly 
 introduce reinforcement learning\, followed by customized algorithms for t
 wo problems in active robotic search and collection. The second part will 
 adapt global optimization algorithms to the setting in which one or severa
 l robots must find the maximum of the function defined over their physical
  operating area\, a version of source seeking. This second set of algorith
 ms will be associated with guarantees on near-optimality as a function of 
 the number of steps taken by the robots.\n\n- Biographie : Lucian Busoniu 
 received his Ph.D. degree cum laude from the Delft University of Technolog
 y\, the Netherlands\, in 2009. He is a full professor with the Department 
 of Automation at the Technical University of Cluj-Napoca\, where he leads 
 the group on Robotics and Nonlinear Control. He has previously held resear
 ch positions in the Netherlands and in France. His research interests incl
 ude nonlinear optimal control using artificial intelligence and reinforcem
 ent learning techniques\, robotics\, and multiagent systems. His publicati
 ons include among others a book on reinforcement learning and several infl
 uential review articles\, two of which were in the top 1% cited papers in 
 ISI Web of Knowledge. He serves on the editorial board of the Elsevier jou
 rnal Engineering Applications of Artificial Intelligence\, and was the rec
 ipient of the 2009 Andrew P. Sage Award for the Best Paper in the IEEE Tra
 nsactions on Systems\, Man\, and Cybernetics. He has competitively obtaine
 d research funding in excess of 1.5 million EUR as principal investigator\
 , and -- in addition to conference keynotes -- was invited to present rese
 arch on prime-time national TV and in other media.\n\n- Salle CRAN-ENSEM
CATEGORIES:Département CID,Séminaire projet MODELE
LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na
 ncy\, 54516\, France
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