An Overview of Contextual Bandits
A dynamic approach to treatment personalization
bandits
Dynamic Pricing with Multi-Armed Bandit: Learning by Doing!
Applying Reinforcement Learning strategies to real-world use cases, especially in dynamic pricing, can reveal many surprises
Introduction to Multi-Armed Bandit Problems
Delve deeper into the concept of multi-armed bandits, reinforcement learning, and exploration vs. exploitation dilemma.
The Data Incubator is Now Pragmatic Data | Pragmatic Institute
As of 2024, The Data Incubator is now Pragmatic Data! Explore Pragmatic Institute’s new offerings, learn about team training opportunities, and more.
Multi-armed bandits for dynamic movie recommendations
Making the best recommendations to anonymous audiences
Multi-Armed Bandit Algorithms: Thompson Sampling
Intuition, Bayes, and an example
stitchfix/mab: Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling…
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy. - stitchfix/mab
Thompson Sampling using Conjugate Priors
Multi-Armed Bandits: Part 5b
A Comparison of Bandit Algorithms
Multi-Armed Bandits: Part 6
Multi-Armed Bandits and the Stitch Fix Experimentation Platform
We've recently built support for multi-armed bandits into the Stitch Fix experimentation platform. This post will explain how and why.
Bandit Algorithms
Multi-Armed Bandits: Part 3
How We Optimized Hero Images on Hotels.com using Multi-Armed Bandit Algorithms
Introducing the multi-armed bandit (MAB) optimization used for hero images on hotels.com
Exploring the fundamentals of multi-armed bandits
Multi-armed bandits are a simple but very powerful framework for algorithms that make decisions over time under uncertainty. “Introduction to Multi-Armed Bandits” by Alex Slivkins provides an accessible, textbook-like treatment of the subject.
Bayesian Bandits explained simply - MLWhiz
There are multiple ways to doing the same thing in Pandas, and that might make it troublesome for the beginner user.This post is about handling most of the data manipulation cases in Python using a straightforward, simple, and matter of fact way.
Bandit Algorithms
