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:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20161106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69dfb87e3b1ed
DTSTART;TZID=America/Toronto:20171025T140000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20171025T140000
URL:https://uwaterloo.ca/complexity-innovation/events/wici-talk-dr-mark-cro
 wley-using-deep-learning-and
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:WICI Talk: Dr. Mark Crowley -Using Deep Learning and Reinforcement\
 nLearning to Tame Spatially Spreading Processes
CLASS:PUBLIC
DESCRIPTION:There have been broad advances in the fields of Artificial\nInt
 elligence and Machine Learning (AI/ML) in the past decade\,\nespecially in
  the areas of Deep Learning and Reinforcement Learning\n(RL) which allow u
 s to more easily learn predictive models and control\npolicies for large\,
  complex systems than ever before. One subset of\nproblems that remains ve
 ry challenging are domains that contain some\nform of spatially spreading 
 process (SSP) where some local features\nchange over time across based on 
 proximity in space.
DTSTAMP:20260415T161038Z
END:VEVENT
END:VCALENDAR