Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Module - Hyper Parameters and Concepts

The video tutorial introduces Q learning, a reinforcement learning algorithm, highlighting its efficiency compared to random solutions. It then delves into hyperparameters, focusing on epsilon, alpha, and gamma, explaining their roles in the Q equation and how they influence learning outcomes.

Describe the role of epsilon in the context of Q learning.

What is the purpose of alpha and gamma in the Q equation?