Catmandu - a data processing toolkit

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

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

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

Python library for Multi-Armed Bandits

VLAN Mac-address Authentication Manager

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

A Julia Package for providing Multi Armed Bandit Experiments

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

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

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

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

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.

Typescript implementation of a multi-armed bandit

Adaptive selection cache with mab

Implementation of the Multi-Armed Bandit where each arm returns continuous numerical rewards. Covers Epsilon-Greedy, UCB1, and Thompson Sampling with detailed explanations.

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