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UID:38313364-3639-4636-a439-346531336236
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:CAIDA AI-Technical Seminar - The Merits of Models in Continuou
 s Reinforcement Learning\, Benjamin Recht (University of California\, Berk
 eley)
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20210314T100000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20181104T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20191103T020000
RDATE:20201101T020000
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TZNAME:PDT
DTSTART:20190310T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20200308T020000
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UID:531f0eb4-674d-4382-a686-da3660364b05
DTSTAMP:20260429T181751Z
CLASS:PUBLIC
CREATED:20190429T160438Z
DESCRIPTION:Classical control theory and machine learning have similar goal
 s: acquire data about the environment\, perform a prediction\, and use tha
 t prediction to positively impact the world. However\, the approaches they
  use are frequently at odds.
DTSTART;TZID=America/Vancouver:20190509T140000
DTEND;TZID=America/Vancouver:20190509T150000
LAST-MODIFIED:20210611T171618Z
LOCATION:X836 - 2366 Main Mall\, V6T 1Z4 (Computer Science Building)
SUMMARY:CAIDA AI-Technical Seminar - The Merits of Models in Continuous Rei
 nforcement Learning\, Benjamin Recht (University of California\, Berkeley)
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/caida-ai-technical-seminar-merits-models-con
 tinuous-reinforcement-learning-benjamin-recht
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