HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

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 - UMR 9189
4 SCEE - Signal, Communication et Electronique Embarquée
IETR - Institut d'Electronique et de Télécommunications de Rennes
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.
Complete list of metadata

Cited literature [25 references]  Display  Hide  Download

https://hal.inria.fr/hal-01840022
Contributor : Lilian Besson Connect in order to contact the contributor
Submitted on : Monday, July 16, 2018 - 12:08:30 PM
Last modification on : Wednesday, April 27, 2022 - 3:53:19 AM
Long-term archiving on: : Wednesday, October 17, 2018 - 3:24:40 PM

File

SMPyBandits_presentation_paper...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01840022, version 1

Citation

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

Share

Metrics

Record views

297

Files downloads

549