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PRODID:Linklings LLC
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TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035308Z
LOCATION:Exhibition Hall 2\, Level 1\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T100000
DTEND;TZID=Asia/Seoul:20221207T180000
UID:siggraphasia_SIGGRAPH Asia 2022_sess188_pos_212@linklings.com
SUMMARY:AIP: Adversarial Interaction Priors for Multi-Agent Physics-based 
 Character Control
DESCRIPTION:Poster\n\nAIP: Adversarial Interaction Priors for Multi-Agent 
 Physics-based Character Control\n\nYounes, Kijak, Kulpa, Malinowski, Multo
 n\n\nWe simulate the interactions between multiple physics-based character
 s, using short unlabeled clips. We introduce Adversarial Interaction Prior
 s: multi-agents generative adversarial imitation learning technique extend
 ing recent single character deep reinforcement learning.\n\nRegistration C
 ategory: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXH
 IBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=pos_212&sess=sess188
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