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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250813T091000
DTEND;TZID=America/Los_Angeles:20250813T092000
UID:siggraph_SIGGRAPH 2025_sess137_papers_504@linklings.com
SUMMARY:AMOR: Adaptive Character Control through Multi-Objective Reinforce
 ment Learning
DESCRIPTION:Lucas N. Alegre (Instituto de Informática - Universidade Feder
 al do Rio Grande do Sul, Disney Research) and Agon Serifi, Ruben Grandia, 
 David Müller, Espen Knoop, and Moritz Bächer (Disney Research)\n\nPresenti
 ng AMOR, a policy conditioned on context and a linear combination of rewar
 d weights, trained using multi-objective reinforcement learning. Once trai
 ned, AMOR allows for on-the-fly adjustments of reward weights, unlocking n
 ew possibilities in physics-based and robotic character control.\n\nIntere
 st Area: Research & Education\n\nRecording: Livestreamed, Not Livestreamed
 , Recorded, Not Recorded\n\nRegistration Category: Full Conference, Virtua
 l Access, Wednesday\n\nSession Chair: Paul Kry (McGill University)\n\n
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