policy
awesome-vla-study
MilkClouds · PyTorch
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Overview
Name
awesome-vla-study
Author
MilkClouds
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
community
Task description
A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through state-of-the-art robot foundation model architectures to data scaling, RL fine-tuning, and world models. Papers in reading order.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Compatible environments
0No environments list awesome-vla-study yet.
Datasets that reference this policy
0No datasets reference awesome-vla-study yet.