Repository
Open source
RLinf
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks
Research & learning / Research
Awesome VLA RL · OpenHelix-Team
Awesome VLA RL organizes research combining vision-language-action models and reinforcement learning.
Overview
Awesome VLA RL organizes research combining vision-language-action models and reinforcement learning.
Publisher summary: “This repository summarizes recent advances in the VLA + RL paradigm and provides a taxonomic classification of relevant works.”
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
- OpenHelix-Team
- 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
- 2025-10-10
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Awesome-VLA-RL
- Offline RL
- Online RL
- in Simulator
- in Real-World
- World Model (Model-Based RL)
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