BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:64623536-3130-4035-a435-366466663131 X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde X-WR-TIMEZONE:America/Vancouver X-WR-CALNAME:What is the value of an action in ice hockey? Deep Reinforceme nt Learning for Context-Aware Player Evaluation - Oliver Schulte and Guili ang Liu\, Simon Fraser University BEGIN:VTIMEZONE TZID:America/Vancouver TZUNTIL:20201101T090000Z BEGIN:STANDARD TZNAME:PST DTSTART:20181104T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RDATE:20191103T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20190310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20200308T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:53d8bc14-fce7-42d2-af03-9d2098350bb1 DTSTAMP:20260308T155038Z CLASS:PUBLIC CREATED:20190220T165732Z DESCRIPTION:A fundamental goal of sports analytics is to rank player perfor mance. A common approach is to assign a value to each player action and ra nk a player by his or her aggregate action value. For measuring the value of an action\, a recent AI-based approach\, successful in a variety of tea m sports\, estimates its expected impact on team success (e.g.\, the team’ s chance of scoring the next goal). DTSTART;TZID=America/Vancouver:20190325T150000 DTEND;TZID=America/Vancouver:20190325T160000 LAST-MODIFIED:20210611T171820Z LOCATION:Computer Science Building - X836\, 2366 Main Mall\, V6T 1Z4 SUMMARY:What is the value of an action in ice hockey? Deep Reinforcement Le arning for Context-Aware Player Evaluation - Oliver Schulte and Guiliang L iu\, Simon Fraser University TRANSP:OPAQUE URL:https://caida.ubc.ca/event/what-value-action-ice-hockey-deep-reinforcem ent-learning-context-aware-player-evaluation END:VEVENT END:VCALENDAR