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graphenv: a Python library for reinforcement learning on graph search spaces

Python Jupyter Notebook Submitted 21 July 2022 • Published 05 September 2022
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Review

Editor: @osorensen (all papers)
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Authors

David Biagioni (0000-0001-6140-1957), Charles Edison Tripp (0000-0002-5867-3561), Struan Clark (0000-0003-0078-6560), Dmitry Duplyakin (0000-0001-5132-0168), Jeffrey Law (0000-0003-2828-1273), Peter C. St. John (0000-0002-7928-3722)

Citation

Biagioni et al., (2022). graphenv: a Python library for reinforcement learning on graph search spaces. Journal of Open Source Software, 7(77), 4621, https://doi.org/10.21105/joss.04621

@article{Biagioni2022, doi = {10.21105/joss.04621}, url = {https://doi.org/10.21105/joss.04621}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {77}, pages = {4621}, author = {David Biagioni and Charles Edison Tripp and Struan Clark and Dmitry Duplyakin and Jeffrey Law and Peter C. St. John}, title = {graphenv: a Python library for reinforcement learning on graph search spaces}, journal = {Journal of Open Source Software} }
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reinforcement learning graph search combinatorial optimization

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License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066