The problem with the epsilon greedy method
I decided I wanted to roll my own AB testing app for Django (https://github.com/crobertsbmw/RobertsAB) when I was finished, I came across this: http://stevehanov.ca/blog/index.php?id=132 Which is a very convincing article on why AB testing sucks and with a few extra lines, you can improve your algorithm to select the best test so you never go back and update your code (yeah right.) I then thought, how many tests does this thing have to run to truly figure out which is best? I made 4 tests with probability of success equalling 1/2, 1/4,…
The problem with the epsilon greedy method launched on December 19, 2014 with 22 votes and more than 75% of that year's launches. The site was still online in September 2026, 11 years on.
In plain words
EpsilonGreedy is a Python testing tool that compares the effectiveness of the epsilon greedy method against standard A/B testing approaches. It evaluates how many trials each algorithm needs to identify the best-performing variant among multiple options. The tool was created to assess whether the epsilon greedy approach's theoretical advantages translate to practical efficiency in real-world testing scenarios.
written from the facts on this page · September 2026
From the sources
Some python tests to find how well the Epsilon Greedy method actually does against a standard AB method - crobertsbmw/EpsilonGreedy
In the maker’s words, at launch
I decided I wanted to roll my own AB testing app for Django (https://github.com/crobertsbmw/RobertsAB) when I was finished, I came across this: http://stevehanov.ca/blog/index.php?id=132 Which is a very convincing article on why AB testing sucks and with a few extra lines, you…
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