Not only will you learn the theory in detail, but also you will shape up a strong intuition of how the AI learns and works. You will clearly see the whole construction and training process of the AI through a series of clear visualization slides.
We will study in-depth the whole theory behind the model. These include Q-Learning, Deep Q-Learning, Policy Gradient, Actor-Critic and more. In this part, we will study all the fundamentals of Artificial Intelligence which will allow you to understand and master the AI of this course.
To approach this model the right way, we structured the course in three parts: The model is so strong that for the first time in our courses, we are able to solve the most challenging virtual AI applications (training an ant/spider and a half humanoid to walk and run across a field). In this course, we will learn and implement a new incredibly smart AI model, called the Twin-Delayed DDPG, which combines state of the art techniques in Artificial Intelligence including continuous Double Deep Q-Learning, Policy Gradient, and Actor-Critic. Welcome to Deep Reinforcement Learning 2.0!
How to implement a state of the art AI model that is over performing the most challenging virtual applications
