Sim2Val

This project provides sim2val--a Python package with utilities for validation using simulated data. For more information, please see the paper.

Getting started

The python package can be built with either:

# Using uv
uv run python -m build

# Using pip
python -m build .

And if using pip, installed with:

pip install .

Example Notebook

To get started with sim2val, you can run the example notebooks--for example:

jupyter notebook notebooks/simple_run.ipynb

# or

uv run python -m jupyter notebook notebooks/simple_run.ipynb

Testing

Unit tests are found in the tests directory and can be run with:

# Using uv
uv run --all-extras pytest

# Using pip
pytest

Citation

If you use this code, please cite the following paper:

@inproceedings{luo2025_sim2val,
title = {Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation},
author = {Rachel Luo and Heng Yang and Michael Watson and Apoorva Sharma and Sushant Veer and Edward Schmerling and Marco Pavone},
booktitle = {Proceedings of the Conference on Robot Learning (CoRL)},
year = {2025},
}