Presentation / Installation
Composite Motion Learning With Task Control
SessionPapers Fast Forward
DescriptionWe present a multi-objective learning approach for composite and task-driven motion control for physically simulated characters. Without needing to manually blend reference motions, our approach learns composite motions directly from multiple reference sources across distinct body parts and supports sample-efficient training from pretrained controllers in an incremental manner.
Event Type
Technical Paper
TimeSunday, 6 August 20236pm - 8:30pm PDT
LocationWest Hall B
ACM Digital Library
Technical Papers pdfs
Session Time & Location
Production & Animation
Research & Education
Livestreamed
Recorded
Animation/Simulation
Artificial Intelligence/Machine Learning
Image Processing
Modeling
Rendering
Video
Virtual Reality
FC
FCS
V
VS
E
EFC
EE
