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DTSTAMP:20260805T205602Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260721T140000
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UID:siggraph_SIGGRAPH 2026_sess104_papers_145@linklings.com
SUMMARY:GPC: Large-Scale Generative Pretraining for Transferable Motor Con
 trol
DESCRIPTION:Yi Shi (NVIDIA, Simon Fraser University); Yifeng Jiang and Che
 n Tessler (NVIDIA); and Xue Bin Peng (NVIDIA, Simon Fraser University)\n\n
 We present Generative Pretrained Controllers, a framework for training reu
 sable generative controllers for physically simulated characters. GPC leve
 rages FSQ discretization with end-to-end RL to learn reusable motor skills
  from large-scale motion data. Once trained, the generative controller can
  be finetuned and adapted to perform diverse downstream tasks using natura
 listic behaviors.\n\nInterest Area: Research & Education\n\nKeyword: Anima
 tion, Artificial Intelligence/Machine Learning, Robotics, Simulation\n\nRe
 gistration Category: Full Conference Supporter, Full Conference\n\nSession
  Chair: Yuting Ye (Reality Labs Research, Meta; Meta)\n\n
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