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68 public repositories
matching this topic...
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
Updated
Dec 11, 2019
Python
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Updated
Jun 30, 2021
Python
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Updated
Jun 19, 2020
MATLAB
All codes, both created and optimized for best results from the SuperDataScience Course
Updated
Nov 5, 2017
Python
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Updated
May 21, 2020
Python
Updated
Oct 12, 2017
Python
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
A Julia Package for providing Multi Armed Bandit Experiments
Updated
Jul 19, 2018
Julia
pyrff: Python implementation of random fourier feature approximations for gaussian processes
Updated
Jul 25, 2021
Jupyter Notebook
Thompson Sampling based Monte Carlo Tree Search for MDPs and POMDPs
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
Updated
May 21, 2018
Python
Updated
Mar 29, 2018
Jupyter Notebook
Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.
Updated
May 24, 2019
Jupyter Notebook
Thompson Sampling Tutorial
Updated
Jan 25, 2019
Jupyter Notebook
Bayesian Optimization for Categorical and Continuous Inputs
Updated
Jul 20, 2020
Python
Thompson Sampling for Bandits using UCB policy
Updated
Jul 29, 2017
Python
Updated
Sep 8, 2020
Python
Learning about Stochastic Multi-Armed Bandit Algorithms
Updated
Dec 27, 2018
Python
Offline evaluation of multi-armed bandit algorithms
Updated
Dec 1, 2020
Python
An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020
Updated
Jan 14, 2021
Python
Author's implementation of the paper Correlated Age-of-Information Bandits.
Updated
Jun 19, 2021
Python
Codes and templates for ML algorithms created, modified and optimized in Python and R.
Updated
Mar 28, 2020
Python
Study of the paper 'Neural Thompson Sampling' published in October 2020
Updated
Jun 12, 2021
Jupyter Notebook
The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.
Updated
Jul 25, 2017
Jupyter Notebook
Codes for simulations in the paper "On Worst-case Regret of Linear Thompson Sampling"
Updated
Mar 9, 2021
Python
Foundations Of Intelligent Learning Agents (FILA) Assignments
Updated
Nov 8, 2019
Python
A curated list on papers about combinatorial multi-armed bandit problems.
A Comparative Evaluation of Active Learning Methods in Deep Recommendation
Updated
Jul 14, 2019
Jupyter Notebook
Our project for the "Data Intelligence Applications" exam at Politecnico di Milano. The project was about Social Influence and Pricing techniques applied to networks.
Updated
Oct 7, 2020
Python
Updated
Jun 1, 2021
Python
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