Worcester Polytechnic Institute Digital WPI Major Qualifying Projects (All Years) Major Qualifying Projects 2019-12-12 Machine Learning Arena: Creating an ML Based Game Kyle N. Corry Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/mqp-all Repository Citation Corry, K. N. (2019). Machine Learning Arena: Creating an ML Based Game. Retrieved from https://digitalcommons.wpi.edu/mqp-all/7247 This Unrestricted is brought to you for free and open access by the Major Qualifying Projects at Digital WPI. It has been accepted for inclusion in Major Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact
[email protected]. Machine Learning Arena: Creating an ML Based Game A Major Qualifying Project Submitted to the Faculty of Worcester Polytechnic Institute By _____________________________________ Grant Ferguson _____________________________________ Jordan Cattelona _____________________________________ Justin Kreiselman _____________________________________ Kyle Corry Date: 12/11/2019 Project Advisors: _____________________________________ Professor Gillian Smith, Advisor _____________________________________ Professor Jacob Whitehill, Advisor ABSTRACT We present a new game, “MLA: Machine Learning Arena”, in which the player’s goal is to train a machine learning agent to win a boxing match. The game features multiple phases, fully animated characters for the player to control, and machine learning integration. We tackled several technical and design challenges in this MQP, including: 1) Communicating machine learning progress through UI elements to the user, 2) Training an effective model for the game agent despite poor training examples from users, 3) Explaining key ideas about machine learning to players with no background in the field. We conduct user testing with 27 human participants to determine if players feel that the ML is learning from them.