BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:30616430-6537-4662-b835-663835366461 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 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20190310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20200308T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:531f0eb4-674d-4382-a686-da3660364b05 DTSTAMP:20260306T010553Z 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 END:VEVENT END:VCALENDAR