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Evaluating The Performance of Reinforcement Learning Algorithms by mxrv is a document available to read on EtoBox.

What is Evaluating The Performance of Reinforcement Learning Algorithms about?

This document discusses the importance of reliable performance evaluations for reinforcement learning (RL) algorithms, highlighting issues with current evaluation methods that often lead to inconsistent and non-reproducible results. The authors propose a new evaluation methodology that emphasizes scientific rigor, usability across various environments, non-exploitative practices, and computational tractability, aiming to accurately quantify algorithm performance without extensive hyperparameter tuning. They

Author

mxrv

Language

EN