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:69af0e3499dd3
DTSTART;TZID=America/Toronto:20200505T140000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200505T140000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-obedience-based-multi-agent
LOCATION:Online 200 University Avenue West Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Obedience-based Multi-Agent\nCooper
 ation for Sequential Social Dilemmas
CLASS:PUBLIC
DESCRIPTION:GAURAV GUPTA\, MASTER’S CANDIDATE\n_David R. Cheriton School
  of Computer Science_\n\nWe propose a mechanism for achieving cooperation 
 and communication in\nMulti-Agent Reinforcement Learning (MARL) settings b
 y intrinsically\nrewarding agents for obeying the commands of other agents
 . At every\ntimestep\, agents exchange commands through a cheap-talk chann
 el.\nDuring the following timestep\, agents are rewarded both for taking\n
 actions that conform to commands received as well as for giving\nsuccessfu
 l commands. We refer to this approach as obedience-based\nlearning.
DTSTAMP:20260309T181516Z
END:VEVENT
END:VCALENDAR