Topic: mab Goto Github
Some thing interesting about mab
Some thing interesting about mab
mab,This project implements famous MAB algorithms and evaluates them on the basis of their performance - EpsilonGreedy, UCB, BetaThompson, LinUCB, LinThompson.
User: abhinavcreed13
Home Page: https://abhinavcreed13.github.io/projects/mab-implementation/
mab,Experiment results using MAB algorithms in Yahoo! Front Page Today Module User Click Log dataset
User: aldente0630
mab,:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
User: alison-carrera
mab,Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
User: alison-carrera
mab,Exploitation vs Exploration problem stated as A/B-testing with maximum profit per unit time.
User: avorozhtsov
mab,Source code for Assignment 2 of COMP90051 (Semester 2 2020)
User: bachfischer
mab,The work in paper "A Reinforcement Learning-Based Solution for Intra-Domain Egress Selection" - Duc-Huy LE, Hai Anh TRAN
User: duchuyle108
mab,🐯REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"
User: duruii
mab,🐯REPLICA of "Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing"
User: duruii
mab,COLEMAN (Combinatorial VOlatiLE Multi-Armed BANdit) - and strategies for HCS context
User: jacksonpradolima
mab,My Little Reinforcement Learning
User: jiseonghan
mab,Implementation of Multi-Armed Bandit (MAB) algorithms UCB and Epsilon-Greedy. MAB is a class of problems in reinforcement learning where an agent learns to choose actions from a set of arms, each associated with an unknown reward distribution. UCB and Epsilon-Greedy are popular algorithms for solving MAB problems.
User: joelja835
mab,Multi-Player Bandits Revisited [L. Besson & É. Kaufmann]
User: juliennonin
mab,Catmandu - a data processing toolkit
Organization: librecat
Home Page: https://librecat.org
mab,VLAN Mac-address Authentication Manager
User: matteoguadrini
Home Page: https://matteoguadrini.github.io/vmam/
mab,Python application to setup and run streaming (contextual) bandit experiments.
Organization: nth-iteration-labs
mab,Multi-Armed-Bandit solutions on AWS to deliver Covid-19 test kits efficiently and effectively
User: pm3310
mab,Adaptive bandit cache selection
User: sshaplygin
mab,A Python library for all popular multi-armed bandit algorithms.
User: tuhinsharma121
mab,A Julia Package for providing Multi Armed Bandit Experiments
User: v-i-s-h
mab,Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)
User: vladmariancimpeanu
mab,Typescript implementation of a multi-armed bandit
User: vmarchaud
Home Page: https://en.wikipedia.org/wiki/Multi-armed_bandit
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