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We introduce a Python open-source library for $\mathcal{X}$-armed bandit andonline blackbox optimization named PyXAB. PyXAB contains the implementationsfor more than 10 $\mathcal{X}$-armed bandit algorithms, such as HOO, StoSOO,HCT, and the most recent works GPO and VHCT. PyXAB also provides the mostcommonly-used synthetic objectives to evaluate the performance of differentalgorithms and the various choices of the hierarchical partitions on theparameter space. The online documentation for PyXAB includes clear instructionsfor installation, straight-forward examples, detailed feature descriptions, anda complete reference of the API. PyXAB is released under the MIT license inorder to encourage both academic and industrial usage. The library can bedirectly installed from PyPI with its source code available athttps://github.com/WilliamLwj/PyXAB

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