BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:63363437-3161-4235-b062-666163663963 X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde X-WR-TIMEZONE:America/Vancouver X-WR-CALNAME:A tour of distributional reinforcement learning - Marc G. Bell emare\, Research Scientist\, Google Brain\, Mila BEGIN:VTIMEZONE TZID:America/Vancouver TZUNTIL:20221106T090000Z BEGIN:STANDARD TZNAME:PST DTSTART:20201101T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RDATE:20211107T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20200308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20210314T020000 RDATE:20220313T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:c655b47c-11fc-4103-9e1a-ea8b28c046f7 DTSTAMP:20260331T095846Z 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 END:VEVENT END:VCALENDAR