The course will cover OpenAI Gym environments, and essential concepts such as rewards, punishment and discounting factors. You will also look at implementing custom environments in Tensorflow 2. 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 have also previously learned about Markov Chains and Markov Decision Processes, and will be able to use TensorFlow 2.