BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:61666631-3333-4731-b935-373464633835
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Algorithmic collusion with imperfect monitoring - Giacomo Calz
 olari\, Professor\, European University Institute
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20221106T090000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20201101T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20211107T020000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:PDT
DTSTART:20210314T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20220313T020000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:606066d8-7235-40ee-ac1c-c9226cc3dbe7
DTSTAMP:20260123T140301Z
CLASS:PUBLIC
CREATED:20210218T221858Z
DESCRIPTION:Please register for this event here. Abstract: Alongside E. Cal
 vano\, V. Denicolo'\, S. Pastorello\, Dr. Giacomo Calzolari showed that if
  they are allowed enough time to complete the learning\, Q-learning algori
 thms can learn to collude in an environment with imperfect monitoring adap
 ted from Green and Porter (1984)\, without having been instructed to do so
 \, and without communicating with one another. Collusion is sustained by p
 unishments that take the form of price wars triggered by the observation o
 f low prices. The punishments have a finite duration\, being harsher initi
 ally and then gradually…
DTSTART;TZID=America/Vancouver:20210315T100000
DTEND;TZID=America/Vancouver:20210315T110000
LAST-MODIFIED:20210610T225842Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Algorithmic collusion with imperfect monitoring - Giacomo Calzolari
 \, Professor\, European University Institute
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/algorithmic-collusion-imperfect-monitoring-g
 iacomo-calzolari-professor-european-university
END:VEVENT
END:VCALENDAR