Hyperparameter Tuning Using Bayesian Optimization in MATLAB
“Hyperparameter optimization is a key step in the development of deep reinforcement learning algorithms, aimed at improving performance by adjusting the algorithm’s hyperparameters. Currently, there are various hyperparameter optimization methods, among which Bayesian optimization is widely used due to its efficiency and intelligent search mechanism. Therefore, this article mainly studies hyperparameter optimization methods based on … Read more