2026 Craig Boutilier: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	75	1407	1364	730	704	271	24897

Research.com Recognitions

2014 - Fellow of the Royal Society of Canada Academy of Science
2012 - ACM Fellow For contributions to knowledge representation and computational decision making.
2006 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to default reasoning, belief revision, and decision-theoretic foundations of AI.

Overview

Craig Boutilier is affiliated with Google in the United States, focusing primarily on computer science with an emphasis on artificial intelligence. Their research activity includes 70 publications in computer science, with 45 specifically in artificial intelligence, 22 in management science and operations research, and 11 related to information systems. Other subfields include computer vision and pattern recognition as well as signal processing.

Boutilier's research encompasses a range of topics centered on advanced bandit algorithms, recommender systems, topic modeling, machine learning, reinforcement learning applied to robotics, game theory, and data management algorithms. These thematic areas collectively represent their primary scholarly contributions and areas of expertise.

They have collaborated frequently with several researchers, including Yinlam Chow, Martin Mladenov, Guy Tennenholtz, Chih-Wei Hsu, and Mohammad Ghavamzadeh.

Craig Boutilier has contributed papers to prominent venues such as arXiv (Cornell University), where they have 34 publications, Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications, ACM Transactions on Recommender Systems with 2 publications, as well as individual contributions to Artificial Intelligence and the Dagstuhl Research Online Publication Server.

Selected recent publications include the following:

"Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report" (2022, arXiv (Cornell University))
"Building Human Values into Recommender Systems: An Interdisciplinary Synthesis" (2023, ACM Transactions on Recommender Systems)
"Aligning Text-to-Image Models using Human Feedback" (2023, arXiv (Cornell University))
"DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models" (2023, arXiv (Cornell University))
"On the equivalence of optimal recommendation sets and myopically optimal query sets" (2020, Artificial Intelligence)

Their work has been acknowledged through various honors including Fellowship of the Royal Society of Canada awarded in 2014 by the Academy of Science, ACM Fellow in 2012 for contributions to knowledge representation and computational decision making, and Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2006 recognizing advances in default reasoning, belief revision, and decision-theoretic foundations of AI.

Best Publications

The dynamics of reinforcement learning in cooperative multiagent systems

Caroline Claus;Craig Boutilier

1565
Citations
Decision-theoretic planning: structural assumptions and computational leverage

Craig Boutilier;Thomas Dean;Steve Hanks

1562
Citations
CP-nets: a tool for representing and reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Carmel Domshlak;Holger H. Hoos

1234
Citations
Context-specific independence in Bayesian networks

Craig Boutilier;Nir Friedman;Moises Goldszmidt;Daphne Koller

787
Citations
Planning, Learning and Coordination in Multiagent Decision Processes

Craig Boutilier

630
Citations
Stochastic dynamic programming with factored representations

Craig Boutilier;Richard Dearden;Moisés Goldszmidt

608
Citations
Exploiting Structure in Policy Construction

Craig Boutilier;Richard Dearden;Moises Goldszmidt

551
Citations
SPUDD: stochastic planning using decision diagrams

Jesse Hoey;Robert St-Aubin;Alan Hu;Craig Boutilier

506
Citations
Sequential Optimality and Coordination in Multiagent Systems

Craig Boutilier

490
Citations
Toward a Logic for Qualitative Decision Theory

Craig Boutilier

475
Citations
Reasoning with conditional ceteris paribus preference statements

Craig Boutilier;Ronen I. Brafman;Holger H. Hoos;David Poole

364
Citations
Solving Combinatorial Auctions Using Stochastic Local Search

Holger H. Hoos;Craig Boutilier

349
Citations
A POMDP formulation of preference elicitation problems

Craig Boutilier

348
Citations
Conditional logics of normality: a modal approach

Craig Boutilier

344
Citations
Symbolic dynamic programming for first-order MDPs

Craig Boutilier;Ray Reiter;Bob Price

327
Citations
Hierarchical solution of Markov decision processes using macro-actions

Milos Hauskrecht;Nicolas Meuleau;Leslie Pack Kaelbling;Thomas Dean

326
Citations
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

C. Boutilier;R. I. Brafman;C. Domshlak;H. H. Hoos

314
Citations
Computing optimal policies for partially observable decision processes using compact representations

Craig Boutilier;David Poole

311
Citations
Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process

Jesse Hoey;Pascal Poupart;Axel von Bertoldi;Tammy Craig

309
Citations
Decision-Theoretic, High-Level Agent Programming in the Situation Calculus

Craig Boutilier;Raymond Reiter;Mikhail Soutchanski;Sebastian Thrun

288
Citations
Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence

Craig Boutilier;Moisés Goldszmidt

45
Citations

Frequent Co-Authors

Pascal Poupart University of Waterloo

Dale Schuurmans University of Alberta

Ronen I. Brafman Ben-Gurion University of the Negev

Branislav Kveton Adobe Systems (United States)

Moises Goldszmidt Apple (United States)

Tuomas Sandholm Carnegie Mellon University

Holger H. Hoos RWTH Aachen University

Csaba Szepesvári University of Alberta

Jesse Hoey University of Waterloo

David Poole University of British Columbia

External Links

Personal website of Craig Boutilier Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

As you consider studying Computer Science in the USA, it’s important to explore related degrees and career options. Choosing the right major shapes your learning journey and future opportunities. Review some of the top majors in college to find fields that align with your interests, such as Information Technology, Data Science, or Software Engineering.

Many students look for flexible and accessible education, and pursuing the easiest online master's degree can help you gain advanced skills with less time and stress. This is especially beneficial if you’re balancing work and study.

For those aiming for leadership or specialized research roles, doctoral programs are increasingly available online. If cost is a concern, discover the cheap doctorate degree online options to further your education without the heavy financial burden.

Educators and professionals interested in administration can benefit from accelerated programs as well, such as the cheapest ed.d online program. These pathways can help you swiftly advance your career while minimizing tuition costs.