policy
DASIP
ryaninkook · PyTorch
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Overview
Name
DASIP
Author
ryaninkook
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
DASIP introduces a Stochastic Interpolant (SI) framework that unifies diffusion and flow based model formulations for robotics imitation learning. It uses a difficulty classifier to analyze observations in real-time and dynamically selects an optimal inference configuration triple.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list DASIP yet.
Datasets that reference this policy
0No datasets reference DASIP yet.