thompson-sampling topic
mabalgs
:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
onn
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
TS-EMO
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
thompson
Thompson Sampling Tutorial
Machine-Learning-Models
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Bandit
Bandit algorithms
mab
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
MAB.jl
A Julia Package for providing Multi Armed Bandit Experiments
pyrff
pyrff: Python implementation of random fourier feature approximations for gaussian processes