duelpy
duelpy
This is a python package for solving with Preference Based Multi Armed Bandit problems, also known as dueling bandits. Refer to this paper ("Preference-based Online Learning with Dueling Bandits: A Survey" by Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier) for an overview of the field.
You can compare the implemented algorithms in an experiment by running
python3 -m duelpy.experiments.cli
The experiments are still rather limited. The command-line interface can
currently only run regret-based comparisons in a limited set of configurations.
Pass the --help flag for more information.
See the documentation for more information about the implemented algorithms.