BordAX: A High-Performance JAX Framework for Programmatic Reinforcement Learning

Python Submitted 13 February 2026Published 25 June 2026
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Editor: @yewentao256 (all papers)
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Authors

Roman Kniazev (0009-0006-7495-9793), Nathanaël Fijalkow (0000-0002-6576-4680)

Citation

Kniazev et al., (2026). BordAX: A High-Performance JAX Framework for Programmatic Reinforcement Learning. Journal of Open Source Software, 11(122), 10470, https://doi.org/10.21105/joss.10470

@article{Kniazev2026, doi = {10.21105/joss.10470}, url = {https://doi.org/10.21105/joss.10470}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {122}, pages = {10470}, author = {Kniazev, Roman and Fijalkow, Nathanaël}, title = {BordAX: A High-Performance JAX Framework for Programmatic Reinforcement Learning}, journal = {Journal of Open Source Software} }
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JAX reinforcement learning programmatic policies decision trees interpretable machine learning

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ISSN 2475-9066