Paimon_VLA-Arena / README.md
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---
tags:
- robotics
- vision-language-action
- vla-arena
- paimon
pipeline_tag: robotics
---
# Paimon
This repository contains the evaluation results for **Paimon**, a
vision-language-action policy evaluated on the VLA-Arena benchmark. This is a
results-only submission for the checkpoint at training step **40,000**。
The evaluated system uses a two-stage pipeline: a VLM-Agent first generates or
decomposes the subtask, and the VLA then executes the resulting subtask in the
simulator.
## VLA-Arena evaluation
Paimon was evaluated on all **33 VLA-Arena task/level cells** using the
official-style evaluation setup.
- Episodes: **5,100**
- Successes: **3,767**
- Episode-weighted success rate: **73.86%**
- Cell-mean success rate: **73.08%**
- L0 / L1 / L2 cell-mean success rate: **90.58% / 71.39% / 57.27%**
The cell-mean rate is the equal-weight average of the 33 L0/L1/L2 success
rates in `results/paimon-arena-agent-ft-step40000.json`.