Code for my book on Multi-Armed Bandit Algorithms

Python implementations of contextual bandits algorithms

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

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Library of contextual bandits algorithms

A hyperparameter optimization framework, inspired by Optuna.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Yahoo! news article recommendation system by linUCB

Demo project using multi-armed bandit algorithm

Bandit algorithms simulations for online learning

Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing

Multi-armed bandit algorithms in Clojure

Library for Multi-Armed Bandit Algorithms

Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset

Hybrid Linear UCB bandit learning algorithm L Li(2010) python code

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Python code for the post "Adversarial Bandits and the Exp3 Algorithm"

Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]

scripts for evaluation of contextual bandit algorithms

SelfTune is an RL framework that enables systems and service developers to automatically tune various configuration parameters and other heuristics in their codebase, rather than manually-tweaking, over time in deployment. It provides easy-to-use API (Python, C# bindings) and is driven by bandit-style RL & online gradient-descent algorithms.

Bandit algorithms for dynamic pricing of many products

Bandit algorithms and test framework in Java

A JavaScript demo of some multi-armed bandits algorithms

Implementation of various multi-armed bandits algorithms on a 10-arm testbed.

Bandit Algorithms in Rust

Experimentation for oracle based contextual bandit algorithms.

Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire

Bandit algorithms