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RLinf
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks
Research & learning / Research
AwesomeWorldModels · Li-Zn-H
AwesomeWorldModels accompanies a survey of world models for embodied AI.
Overview
AwesomeWorldModels accompanies a survey of world models for embodied AI.
Publisher summary: “A Comprehensive Survey on World Models for Embodied AI”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- Li-Zn-H
- 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
- 2026-08-13
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Papers :books:
- Decision-Coupled / Sequential / Global Latent Vector
- 2026
- 2025
- 2024
- Earlier
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