Hello, I think you've done a great job at context-setting, and a fantastic work of pulling all of these algorithms together in one single, consistent API. On top of that, the docs are delightful.
a few minor things from the paper review, relating to openjournals/joss-reviews#6507:
- Minor typo in the second paragraph of the statement of need:
``arms". is started with a double backtick and finishes with double quotes.
- Just after that, I believe there's a missing "be": just before "infeasible" in the following statement
Therefore, directly applying multi-armed bandit algorithms to such problems would infeasible
- The Quick Example section in the Readme could be made a bit more specific and self-evident by including the specific imports used in it.
- Love the real world example - if I were to add anything here, it would be a comparison with other algorithms commonly used for hyperparameter tuning (time, optimality)
Overall fantastic job, well done!
Hello, I think you've done a great job at context-setting, and a fantastic work of pulling all of these algorithms together in one single, consistent API. On top of that, the docs are delightful.
a few minor things from the paper review, relating to openjournals/joss-reviews#6507:
``arms".is started with a double backtick and finishes with double quotes.Therefore, directly applying multi-armed bandit algorithms to such problems would infeasibleOverall fantastic job, well done!