Reinforcement Learning and Deep RL Python Theory and Projects - Quiz (Number of Episodes)

The video tutorial discusses the concept of hyperparameters, focusing on the number of episodes in a machine learning context. It questions the adequacy of setting the maximum number of episodes to 10,000 and explores how to determine the right number. The tutorial encourages reflection on whether the chosen number is sufficient and how to evaluate its effectiveness.

What should one consider when deciding on the total number of episodes?

What is the significance of the total number of episodes in the loop?