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X-WR-CALNAME:Continuous-in-time Limit for Multi-armed Bandit
X-WR-TIMEZONE:America/Los_Angeles
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TZID:America/Los_Angeles
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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0700
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DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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UID:2023-11-20-yuhua-zhu@cml.ics.uci.edu
DTSTAMP:20231120T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20231120T130000
DTEND;TZID=America/Los_Angeles:20231120T140000
SUMMARY:[CML Seminar] Yuhua Zhu: Continuous-in-time Limit for Multi-armed B
 andit
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Yuhua Zhu\, Assistant Professor\, Halicioglu Data Science Insti
 tute and Department of Mathematics\, University of California\, San Diego\
 n\nTitle: Continuous-in-time Limit for Multi-armed Bandit\n\nAbstract: In 
 this talk\, I will build the connection between Hamilton-Jacobi-Bellman eq
 uations (HJB) and the multi-armed bandit (MAB) problems. HJB is an importa
 nt equation in solving stochastic optimal control problems. MAB is a widel
 y used paradigm for studying the exploration-exploitation trade-off in seq
 uential decision making under uncertainty. This is the first work that est
 ablishes this connection in a general setting. I will present an efficient
  algorithm for solving MAB problems based on this connection and demonstra
 te its practical applications.\n\nhttps://cml.ics.uci.edu/seminars/2023-11
 -20-yuhua-zhu
X-ALT-DESC;FMTTYPE=text/html:<html><body><b>Yuhua Zhu</b>\, Assistant Profe
 ssor\, Halicioglu Data Science Institute and Department of Mathematics\, U
 niversity of California\, San Diego<br><br><b>Title:</b> Continuous-in-tim
 e Limit for Multi-armed Bandit<br><br><b>Abstract:</b> In this talk\, I wi
 ll build the connection between Hamilton-Jacobi-Bellman equations (HJB) an
 d the multi-armed bandit (MAB) problems. HJB is an important equation in s
 olving stochastic optimal control problems. MAB is a widely used paradigm 
 for studying the exploration-exploitation trade-off in sequential decision
  making under uncertainty. This is the first work that establishes this co
 nnection in a general setting. I will present an efficient algorithm for s
 olving MAB problems based on this connection and demonstrate its practical
  applications.<br><br><a href="https://cml.ics.uci.edu/seminars/2023-11-20
 -yuhua-zhu">https://cml.ics.uci.edu/seminars/2023-11-20-yuhua-zhu</a></bod
 y></html>
URL:https://cml.ics.uci.edu/seminars/2023-11-20-yuhua-zhu
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