Travis Mandel

travismandelTravis is a PhD candidate in the Center for Game Science. He is using machine learning to analyze data from the Center’s games, with the ultimate goal of making the games adapt to the specific personality and experience level of every player. He is particularly interested in how games should present personalized educational content to maximize learning for each player, while simultaneously keeping players engaged and having fun. He is currently investigating how to best use techniques from reinforcement learning to achieve these goals.