BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:adamgibbons/ics
METHOD:PUBLISH
X-PUBLISHED-TTL:PT1H
BEGIN:VEVENT
UID:l2H9e2KVcMVJ6qV9j06aA
SUMMARY:Skill issue: Teaching robots to play Counterstrike with imitation l
	earning
DTSTAMP:20260430T144232Z
DTSTART:20260522T092500Z
DESCRIPTION:Description:\nDo you wish you had an equal that can play Counte
	rstrike just as godlike as you? Thanks to recent development in Robot Foun
	dation Models (RFMs)\, robots can learn how to play video games just like 
	you\, imitating your best and worst behavior.\n\nIn this talk\, Thomas End
	res and Jonas Mayer show you how you can use imitation learning to teach a
	n RFM to play arbitrary games. They draw first blood with an introduction 
	into Robot Foundation Models. You'll learn how they work\, what kind of da
	ta they are designed to process and how that makes NVIDIA's Gr00t perfect 
	for playing video games. After that they quick scope the concept of imitat
	ion learning\, what kind of data they need to train their Gr00t and how th
	ey can collect it from games. Finally\, they'll tell the story of leveling
	 up the model from total noob to global elite - one failure at a time - an
	d share all the things that they learned along the way. \n\nThroughout the
	 talk\, Thomas and Jonas spray live demos into their slides. To close the 
	game\, they challenge one member of the audience to beat Gr00t live on sta
	ge in a 1v1.\n--------------------------------\n\nSpeaker:\n- Thomas Endre
	s\n- Jonas Mayer\n\n--------------------------------\n\nTalk details:\n- L
	ink to the Big Techday website: https://bigtechday.com/en/talks#5x47Hb9UYz
	TNEp1Sa8NYbu\n
LOCATION:Kohlebunker II
DURATION:PT50M
END:VEVENT
END:VCALENDAR