PyXAB - A Python Library for \mathcal{X}-Armed Banditand Online Blackbox Optimization Algorithms

Li[ et al., (2024). PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms. Journal of Open Source Software, 9(102), 6507, https://doi.org/10.21105/joss.06507

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Publication Details

Journal
The Journal of Open Source Software
Published
2024-10-24
DOI
https://doi.org/10.21105/joss.06507
Primary Topic
Advanced Bandit Algorithms Research
Type
article
Field-Weighted Citation Impact
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article

PyXAB - A Python Library for \mathcal{X}-Armed Banditand Online Blackbox Optimization Algorithms

Wenjie Li, Jean Honorio, Haoze Li, Qifan Song
1 links
The Journal of Open Source Software
Advanced Bandit Algorithms Research
article

PyXAB - A Python Library for \mathcal{X}-Armed Banditand Online Blackbox Optimization Algorithms

Wenjie Li, Jean Honorio, Haoze Li, Qifan Song
article en

Abstract

Li[ et al., (2024). PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms. Journal of Open Source Software, 9(102), 6507, https://doi.org/10.21105/joss.06507

The Journal of Open Source SoftwareVol. 9(102)
Reduced inequalities
Openalex Percentile: Top 77%
Advanced Bandit Algorithms Research
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PyXAB - A Python Library for \mathcal{X}-Armed Banditand Online Blackbox Optimization Algorithms — Wenjie Li, Jean Honorio, et al. · The Journal of Open Source Software (2024) | TGRS Research Map | TGRS