SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python

Lilian Besson 1, 2, 3, 4, 5
3 SEQUEL - Sequential Learning
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : SMPyBandits is a package for numerical simulations on single-player and multi-players Multi-Armed Bandits (MAB) algorithms, written in Python (2 or 3). This library is the most complete open-source implementation of state-of-the-art algorithms tackling various kinds of sequential learning problems referred to as Multi-Armed Bandits. It is extensive, simple to use and maintain, with a clean and well documented codebase. It allows fast prototyping of experiments, with an easy configuration system and command-line options to customize experiments.
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https://hal.inria.fr/hal-01840022
Contributor : Lilian Besson <>
Submitted on : Monday, July 16, 2018 - 12:08:30 PM
Last modification on : Monday, June 3, 2019 - 11:30:27 AM
Long-term archiving on : Wednesday, October 17, 2018 - 3:24:40 PM

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Lilian Besson. SMPyBandits: an Experimental Framework for Single and Multi-Players Multi-Arms Bandits Algorithms in Python. 2018. ⟨hal-01840022⟩

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