Automatic Hyperparameter Tuning - In Practice (Part 2)

This is the second (and last) post on automatic hyperparameter optimization. In the first part , I introduced the challenges and main components of hyperparameter tuning (samplers, pruners, objective function, &hellip;). This second part is about the practical application of this technique with the Optuna library , in a reinforcement learning setting (using the Stable-Baselines3 (SB3) library).…