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.

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

A Julia Package for providing Multi Armed Bandit Experiments

Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)

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

VLAN Mac-address Authentication Manager

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

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

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

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

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

My Little Reinforcement Learning

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

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

Adaptive bandit cache selection

Typescript implementation of a multi-armed bandit

Algorithms for multi-armed bandit (MAB) problems