Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
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Updated
Dec 11, 2019 - Python
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.
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
Multi-Player Bandits Revisited [L. Besson & É. Kaufmann]
Experiment results using MAB algorithms in Yahoo! Front Page Today Module User Click Log dataset
🐯REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"
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
🐯REPLICA of "Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing"
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
Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)
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