Repository
Open source
RLinf
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks
Research & learning / Research
Awesome-World-Model-for-Robotics-Policy · NTUMARS
Awesome World Models for Robotic Policy Learning
Overview
Awesome World Models for Robotic Policy Learning
Use the source to explore robotics concepts, examples and references. Source material may be historical; check the applicable version and context.
Project information
- Maintainer
- NTUMARS
- Primary language
- Not specified
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-05-16
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Awesome World Models for Robotic Policy Learning
- Table of Contents
- World Model as Policy
- IDM-style Policies
- Early Subgoal-Image Instantiations
- Video-IDM Policies
Browse this resource’s categories
Explore related collections
Browse Research & learning →More in Research & learning
Repository
Open source
Repository
Repository
Research
daydreamer · danijar
DayDreamer provides world-model methods for physical robot learning.
World models
Repository
Repository
Research
unified-world-model · WEIRDLabUW
Unfied World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Robot demonstrations
Repository
Research
UniVLA · baaivision
BAAI UniVLA provides a unified vision-language-action model research project.
Vision-language-action