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DTSTART:19700329T010000
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CATEGORIES:CUED Speech Group Seminars
SUMMARY:Inverse reinforcement learning for modeling micro-
 turn taking - Dongho Kim
DTSTART;TZID=Europe/London:20140110T120000
DTEND;TZID=Europe/London:20140110T130000
UID:TALK49770AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/49770
DESCRIPTION:Inverse reinforcement learning (IRL) is a techniqu
 e for recovering a decision-making agent’s underly
 ing reward function by observing its behaviour in 
 interaction with a specific environmental model. T
 he significance of IRL stems from its ability to s
 olve problems in a diverse range of research areas
  where an agent’s behavior can be characterised by
  a reward function which reflects the agent’s obje
 ctive and preferences. In this talk\, we present a
 n application of IRL to micro-turn interaction ana
 lysis\, aiming at identifying the conversational a
 gent’s objective in the turn-taking behavior and d
 eveloping a micro-turn manager for incremental dia
 logue systems.
LOCATION:Department of Engineering - LR6
CONTACT:Rogier van Dalen
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