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58 public repositories
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Repo containing lab files for "Machine Learning" course taken during academic year 2022-2023 summer semester of Master of Telecommunication Engineering program at Politecnico di Milano
Updated
Jul 17, 2024
Jupyter Notebook
reward simulator for contextual bandits
Updated
Dec 20, 2018
Perl
Programming assignments of CS747 - Reinforcement Learning IIT-B
Updated
Nov 9, 2019
Jupyter Notebook
[Python] 4 multi-armed bandit algorithms are implemented to determine which one can most effectively determine the best website configuration that maximise signups.
Updated
Jan 20, 2022
Jupyter Notebook
This is an A/B testing project that was made to see if a new version of a sign up button in a website is better than current one.
Updated
Apr 20, 2023
Jupyter Notebook
A julia package to compute Gittins Indices for Multi Armed Bandits
Updated
Apr 13, 2023
Jupyter Notebook
Updated
Dec 20, 2018
Perl
Real-time decision tool for A/B-testing based on multi-armed bandit algorithm
Multi-armed bandit problem in Reinforcement learning
Updated
Feb 19, 2022
Jupyter Notebook
MBIT Big Data 2019-2020 Reinforced Learning (DC-03 TP-01)
Updated
Jun 23, 2020
Jupyter Notebook
Reinforcement Learning basic tasks
Updated
Dec 30, 2022
Jupyter Notebook
Applying anomaly detection methods on Multi-Armed Bandit problems
Updated
Apr 2, 2023
Jupyter Notebook
Profiling Vehicles for Improved Small Cell Beam-Vehicle Pairing Using Multi-Armed Bandit
Updated
May 9, 2024
Python
A repo contains my implementation and analysis of some well-known Reinforcement Learning problems and algorithms.
Updated
Jul 9, 2020
Jupyter Notebook
A slightly modified UCB algorithm for Multi Armed Bandits (MABs) where we have as a given that each bandit rewards with a Poisson distribution
Updated
Oct 9, 2022
Python
Updated
Mar 18, 2019
Jupyter Notebook
Analysis of various multi armed bandit algorithms over normal and heavy-tailed distributions.
Updated
May 12, 2021
Jupyter Notebook
Multi-Armed bandit problem to predict which arm will be most successful to bet upon using approaches like epsilon greedy, UCB, and Thompson sampling.
Contains all code and course work for a module on reinforcement learning.
Updated
Jun 26, 2021
HTML
Classical reinforcement learning problem on Go
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