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Code for my book on Multi-Armed Bandit Algorithms

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By coding for retrieving performance curve as shown in chapter "analyzing Results from Monte Carlo (chapter 4) study" Approach 1 (Proba of selecting best arm) Approach 2 (Average Reward), I...

Hello John, First, thank you for writing one of the most enjoyable books in the domain! One thing that puzzled me was since most of the code was in python,...

We are currently working on a R package ("[contextual](https://github.com/Nth-iteration-labs/contextual)") that aims to facilitate the implementation and simulation of both context-free and contextual Multi-Armed Bandit policies in R. As "Bandit Algorithms...

If the proposed changes are okay, I plan to work on the rest of the Julia code base to bring it up to speed with 0.6.2+

I tried to implement thompson sampling. please add this if possible.

Rewrite some example code and use more idiomatic python style. PS. How to run the tests for these examples?

now only R is shown beside this repository name, if we click to show all your repos. if possible change the description to show that other language code exists in...

The right arm can't be arm number 5 since arm numbers run from 0 to 4. Also after suffling the values for the means the maximum value is not any...