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SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid Control

SCRIPT pushes language-driven humanoid control toward more stable, physically plausible motion. The system combines a diffusion policy with multi-stage training, then adds reinforcement learning to improve instruction following and motion quality in closed-loop simulation. For teams building embodied agents or character AI, the scaling results are the practical headline.

First reported 4 months, 1 week ago • ai humanoid control diffusion policy motion synthesis
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SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid Control

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