Our team of 11 researchers conduct advanced research in areas such as reinforcement learning, algorithmic game theory, data science and health informatics, among others. Many will recognize our team's contributions to the varied field of machine intelligence. In 2007, we solved checkers, a long-standing challenge problem for AI researchers, and in 2015, we produced the first AI agent capable of playing an essentially-perfect game of heads-up limit hold'em poker. Through the Arcade Learning Environment, we've encouraged researchers around the world to adopt a new challenge problem focused on Atari 2600 games. Outside of AI challenge problems, we recently launched PFM Scheduling Services, which revolutionizes the way scheduling is done in union environments.

Medical, Agricultural, and Computing Science Researchers at the University of Alberta and the AICML have developed a new test to detect E. coli. The PFM Scheduling Services website is now available here. The AICML has just released a new video talking about what machine learning is and what it can do for you. AICML researcher Patrick Pilarski recently gave a talk at TEDx Edmonton. The Critterbot Project is an initiative of the Reinforcement Learning and Artificial Intelligence (RLAI) lab at the University of Alberta.