Craig Boutilier

165 papers and 5.8k indexed citations i.

Craig Boutilier has authored 165 papers that have received a total of 5.8k indexed citations. This includes 108 papers in Artificial Intelligence, 84 papers in Management Science and Operations Research and 32 papers in Economics and Econometrics. The topics of these papers are Auction Theory and Applications (45 papers), Bayesian Modeling and Causal Inference (44 papers) and Reinforcement Learning in Robotics (32 papers). Craig Boutilier is often cited by papers focused on Auction Theory and Applications (45 papers), Bayesian Modeling and Causal Inference (44 papers) and Reinforcement Learning in Robotics (32 papers) and collaborates with scholars based in Canada, United States and Israel. Craig Boutilier's co-authors include Pascal Poupart, Tyler Lu, Ronen I. Brafman, Kevin Regan and Dale Schuurmans and has published in prestigious journals such as Artificial Intelligence, Journal of Machine Learning Research and Computer Vision and Image Understanding