Codeless Reinforcement Learning: Building a Gaming AI

Abstract: 

This session will begin by introducing the concept of Reinforcement Learning, as well as some common use cases. After the high-level introduction, a more formal mathematical framework will be introduced. Finally a review and demonstration of the prior ideas to create a Tic-Tac-Toe playing AI, code-free, in the KNIME Analytics Platform.

Background Knowledge
A Familiarity with Keras or KNIME is helpful but not required.

Bio: 

Corey Weisinger is a Data Scientist with KNIME in Austin Texas. He studied Mathematics at Michigan State University focusing on Actuarial Techniques and Functional Analysis. Before coming to work for KNIME he worked as an Analytics Consultant for the Auto Industry in Detroit Michigan. He currently focuses on Signal Processing and Numeric Prediction techniques and is the Author of the Alteryx to KNIME guidebook.