Multi Armed Bandits Python Packages

mabwiser

MABWiser: Contextual Multi-Armed Bandits Library

tf-agents-nightly

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

tf-agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

mab2rec

Mab2Rec: Multi-Armed Bandits Recommender

obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

pybandits

Python library for Multi-Armed Bandits

pulseopt

Episodic adaptive control for PyTorch optimizer dynamics.

django-bandits

A middleware package for site optimization and Django

calvera

Python Library for Neural Multi Armed Bandits

rlfit

Package for fitting reinforcement learning model to behavior data under multi-armed bandits

fonz-dial

Online weight optimization via Thompson Sampling — learns optimal configurations from outcome feedback

kusp-dial

Online weight optimization via Thompson Sampling — learns optimal configurations from outcome feedback

mab-ranking

Online Ranking with Multi-Armed-Bandits

rl-bandits

Multi-armed bandit experiments: greedy, epsilon-greedy, UCB, and gradient bandits. Seeded comparisons, plots, tests, and YAML configs.

hastur

A multi-armed bandit implementation in python

pulpo

WIP: A library and AWS sdk for non-contextual and contextual Multi-Armed-Bandit (MAB) algorithms for multiple use cases