In this recording of the live session, you'll learn how to create a machine learning experience that has a basic input (one or two dimensional vector observation), an obvious reward, and simple reset state. Throughout the session, learners will be able to:
Define Machine Learning
Discuss how ML differs from and works with Artificial Intelligence
Identify observations for an ML agent to make in a given Scene
Identify ways to reward the ML agent that will reinforce desired behavior
Script the ML Agent to collect observations about conditions in the scene and calculate rewards accordingly
Script the ML Agent to change behavior based on rewards received
