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Authors
Jianhan Zhang (0009-0000-1434-227X), Jitao Wang, Chengchun Shi, John D. Piette, Donglin Zeng, Zhenke Wu (0000-0001-7582-669X)
Citation
Zhang et al., (2026). PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing. Journal of Open Source Software, 11(124), 9689, https://doi.org/10.21105/joss.09689
@article{Zhang2026,
doi = {10.21105/joss.09689},
url = {https://doi.org/10.21105/joss.09689},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {124},
pages = {9689},
author = {Zhang, Jianhan and Wang, Jitao and Shi, Chengchun and Piette, John D. and Zeng, Donglin and Wu, Zhenke},
title = {PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing},
journal = {Journal of Open Source Software}
}
Tags
counterfactual fairness algorithmic fairness reinforcement learning causal inference
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This work is licensed under a Creative Commons Attribution 4.0 International License.
