Repository
Open source
dreamer · danijar
Dreamer implementation for learning control behaviors with latent world models.
Motion planning & control
Research & learning / Open source
Awesome-WAM · OpenMOSS
A curated collection of papers, explainers, and resources on World Action Models for embodied AI
Overview
A curated collection of papers, explainers, and resources on World Action Models for embodied AI
Use the source to explore robotics concepts, examples and references. Source material may be historical; check the applicable version and context.
Project information
- Maintainer
- OpenMOSS
- Primary language
- HTML
- Repository code license
- MIT
- 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
- 2026-09-07
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- World Action Models: The Next Frontier in Embodied AI
- 🔔 News
- Contents
- Tag Legend
- World Action Model tags
- World Action Model
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