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X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:A tour of distributional reinforcement learning - Marc G. Bell
 emare\, Research Scientist\, Google Brain\, Mila
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TZID:America/Vancouver
TZUNTIL:20221106T090000Z
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DTSTART:20201101T020000
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TZOFFSETTO:-0800
RDATE:20211107T020000
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DTSTAMP:20260723T135445Z
CLASS:PUBLIC
CREATED:20201109T215053Z
DESCRIPTION:Please register for this event here. Abstract: In reinforcement
  learning\, decisions are typically made by maximizing the agent's expecte
 d sum of future rewards\, or expected return. Where the reward encodes an 
 immediate notion of utility\, the return corresponds to the long-term valu
 e of the agent's decisions. Reinforcement learning algorithms are concerne
 d with estimating the expected return from sample interactions\, and makin
 g optimal decisions on the basis of these estimates. Distributional reinfo
 rcement learning extends these ideas to the realm of probability distribut
 ions and studies the…
DTSTART;TZID=America/Vancouver:20201118T120000
DTEND;TZID=America/Vancouver:20201118T130000
LAST-MODIFIED:20210610T230125Z
LOCATION:Please register to receive the Zoom link
SUMMARY:A tour of distributional reinforcement learning - Marc G. Bellemare
 \, Research Scientist\, Google Brain\, Mila
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/tour-distributional-reinforcement-learning-m
 arc-g-bellemare-research-scientist-google-brain
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