Michael Bowling

Michael Bowling is a Professor in the Department of Computing Science at the University of Alberta's Faculty of Science. His research focuses on artificial intelligence, reinforcement learning, and game theory, with applications in robotics and computer games. He leads the Computer Poker Research Group and developed the Arcade Learning Environment.

Educational background:

• B.S. Math and Computer Science, Carnegie Mellon University (1996)
• M.Sc. Computer Science, Carnegie Mellon University (1999)
• Ph.D. Computer Science, Carnegie Mellon University (2003)

Research areas:

• Multiagent learning and planning in imperfect information games
• Reinforcement learning for general competency
• Applications in commercial games and sports analytics

Recent publications focus on continual learning, Markov decision processes, and exploration strategies in reinforcement learning.

Teaches game design principles and computer game development. Research featured in Smithsonian exhibitions and media including New York Times and Scientific American.