SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-based Humanoid Control
This work proposes SCRIPT, a scalable diffusion policy with a multi-stage training framework for language-driven physics-based humanoid control, and introduces a nonlinear history conditioning mechanism, which preserves the dense recent context and samples increasingly sparse cues from long-term history.