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AutoVLA
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AutoVLA

[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

by ucla-mobility · GitHub
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autonomous-drivinggrporeinforcement-finetuningPython
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Develop an end-to-end autonomous driving model that reasons and generates driving plans based on visual inputs.

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2026-07-202026-08-31
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[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

AutoVLA has 603 stars on GitHub. It has been forked 47 times. AutoVLA is written mainly in Python. It has been in active development since 2025. Its main topics are autonomous-driving, grpo, reinforcement-finetuning, vision-language-action.

Frequently asked questions

What is AutoVLA?

[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Is AutoVLA open source?

AutoVLA is an open-source project.

Is AutoVLA free?

Yes. AutoVLA is free and open source — you can use, modify and self-host it.

What language is AutoVLA written in?

AutoVLA is written mainly in Python.

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