AN ENHANCED PROXIMAL POLICY OPTIMIZATION-BASED REINFORCEMENT LEARNING METHOD WITH RANDOM FOREST FOR HYPERPARAMETER OPTIMIZATION

For most machine learning and deep learning models, the selection of hyperparameters has a significant impact on the performance of the model.Therefore, deep learning and data analysis experts have to spend a lot of time on hyperparameter tuning when building a Coffee Machines model for accomplishing a task.Although there are many algorithms used t

Purpose: Studies show that graduates of certain occupations earn higher wages when they are placed in the job for which they were trained.Thus, clear evidence for the trade-off between higher earnings returns in certain occupations and the benefit of higher job mobility in lesser Coffee Machines occupations is obtained and can be instructive for ed