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

Catmandu - a data processing toolkit

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Python application to setup and run streaming (contextual) bandit experiments.

VLAN Mac-address Authentication Manager

A Julia Package for providing Multi Armed Bandit Experiments

COLEMAN (Combinatorial VOlatiLE Multi-Armed BANdit) - and strategies for HCS context

Implementation of recommender ( Pytorch & Keras )

The work in paper "A Reinforcement Learning-Based Solution for Intra-Domain Egress Selection" - Duc-Huy LE, Hai Anh TRAN

Multi-Player Bandits Revisited [L. Besson & É. Kaufmann]

🐯REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"

Experiment results using MAB algorithms in Yahoo! Front Page Today Module User Click Log dataset

This project implements famous MAB algorithms and evaluates them on the basis of their performance - EpsilonGreedy, UCB, BetaThompson, LinUCB, LinThompson.

🐯REPLICA of "Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing"

Typescript implementation of a multi-armed bandit

A Python library for all popular multi-armed bandit algorithms.

Multi-Armed-Bandit solutions on AWS to deliver Covid-19 test kits efficiently and effectively

My Little Reinforcement Learning

Algorithms for multi-armed bandit (MAB) problems

Exploitation vs Exploration problem stated as A/B-testing with maximum profit per unit time.