BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b31e066934f
DTSTART;TZID=America/Toronto:20200415T110000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200415T110000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-asking-help-cost-reinforcement
LOCATION:Online 200 University Avenue West Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Asking for Help with a Cost in\nRei
 nforcement Learning
CLASS:PUBLIC
DESCRIPTION:COLIN VANDENHOF\, MASTER’S CANDIDATE\n_David R. Cheriton Sch
 ool of Computer Science_\n\nReinforcement learning (RL) is a powerful tool
  for developing\nintelligent agents\, and the use of neural networks makes
  RL techniques\nmore scalable to challenging real-world applications\, fro
 m\ntask-oriented dialogue systems to autonomous driving. However\, one of\
 nthe major bottlenecks to the adoption of RL is efficiency\, as it often\n
 takes many time steps to learn an acceptable policy. 
DTSTAMP:20260312T201150Z
END:VEVENT
END:VCALENDAR