This course introduces temporal-difference learning and focuses on how it develops over the ideas of both Monte Carlo methods, and dynamic programming. This is part of the Reinforcement Learning Workshop learning path. Complete this path to learn how to use reinforcement learning in a variety of ML and AI problems.
As part of the Reinforcement Learning Workshop path, you will know Python as well as have knowledge of basic AI and machine learning principles, as well as the basics of reinforcement learning. You will also be able to use TensorFlow 2 and OpenAI Gym, and have an understanding of Monte Carlo methods.