This project contains all the code necessary to verify the results of the paper

Malek, Aglietti, Chiappa. "Additive Causal Bandits with Unknown Graph." International Conference on Machine Learning. PMLR, 2023.

The accompanying colab notebook is self-contained, but the package can be installed with

pip install git+https://github.com/deepmind/additive_cbug

All simulations can be generated by running the colab notebook 'introduction.ipynb'.

Please cite the ICML paper referenced above. The BibTex is

@inproceedings{malek2023additive, title={Additive Causal Bandits with Unknown Graph}, author={Malek, Alan and Aglietti, Virginia and Chiappa, Silvia}, booktitle={International Conference on Machine Learning}, year={2024}, organization={PMLR} }

Copyright 2023 DeepMind Technologies Limited

All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0

All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode

Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.

This is not an official Google product.