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Author: Craig Boutilier [RDF, Bibtex, BibBase, BibGraph] has 110 publications

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Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! Paolo Viappiani, Craig Boutilier. Proceedings of the Twenty-fifth AAAI Conference on Artificial Intelligence (AAAI-11) 2011


Learning Complex Concepts using Crowdsourcing: A Bayesian Approach Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier. Proceedings of the Second Conference on Algorithmic Decision Theory (ADT-11) 2011


A Bayesian Approach to Crowdsourcing Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier. IJCAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'11) 2011


Simultaneous Elicitation of Preference Features and Utility Craig Boutilier, Kevin Regan, Paolo Viappiani. Proceedings of the Twenty-fourth AAAI Conference on Artificial Intelligence (AAAI-10) 1160-1167 2010


Monte Carlo methods for Utility Elicitation and Prior Acquisition Paolo Viappiani, Craig Boutilier. NIPS 2010 Workshop on Monte Carlo Methods for Modern Applications, Whistler, B.C., Canada, 2010 2010


Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets Paolo Viappiani, Craig Boutilier. Advances in Neural Information Processing Systems 23 (NIPS) 2010


Preference Elicitation with Subjective Features Craig Boutilier, Kevin Regan, Paolo Viappiani. Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York City, NY, USA, October 22-25, 2009 2009


Online feature elicitation in interactive optimization Craig Boutilier, Kevin Regan, Paolo Viappiani. Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 73-81 2009


Optimal Set Recommendations Based on Regret Paolo Viappiani, Craig Boutilier. Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence - IJCAI 2009 CEUR Workshop Proceedings 2009


Regret-based Optimal Recommendation Sets in Conversational Recommender Systems Paolo Viappiani, Craig Boutilier. Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York City, NY, USA, October 22-25, 2009 2009


Optimal Set Recommendations Based on Regret Paolo Viappiani, Craig Boutilier. IJCAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 CEUR Workshop Proceedings 2009


One-Shot Mechanism Design with Partial Revelation Nathanael Hyafil, Craig Boutilier. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007) 2007


Coalitional Bargaining with Agent Type Uncertainty Georgios Chalkiadakis, Craig Boutilier. Proceedings of the Twentieth International Joint Conference in Artificial Intelligence (IJCAI-07) 1227--1232 2007


Minimax regret based elicitation of generalized additive utilities Darius Braziunas, Craig Boutilier. Proceedings of the Twenty-third Conference on Uncertainty in Artificial Intelligence (UAI-07) 2007


Coalition Formation under Uncertainty: Bargaining Equilibria and the Bayesian Core Stability Concept Georgios Chalkiadakis, Evangelos Markakis, Craig Boutilier. Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-07) 2007


Constraint-based Optimization and Utility Elicitation using the Minimax Decision Criterion Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans. Artifical Intelligence 686--713 2006


Regret-based Incremental Partial Revelation Mechanisms Nathanael Hyafil, Craig Boutilier. Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI 2006) 2006


Who's Asking For Help? A Bayesian Approach to Intelligent Assistance Bowen Hui, Craig Boutilier. International Conference on Intelligent User Interfaces (IUI-06) 186--193 2006


Practical Linear Value-approximation Techniques for First-order MDPs Scott Sanner, Craig Boutilier. uai06 2006


Preference Elicitation in Combinatorial Auctions Tuomas Sandholm, Craig Boutilier, P. Crampton, Yoav Shoham, R. Steinberg. Combinatorial Auctions 233--264 2006


A Planning System Based on Markov Decision Processes to Guide People with Dementia Through Activities of Daily Living Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff Fernie, Alex Mihailidis. IEEE Transactions on Information Technology in Biomedicine 323--333 2006


The Influence of Influence Diagrams Craig Boutilier. Decision Analysis 229--231 2005


Regret-based Utility Elicitation in Constraint-based Decision Problems Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans. ijcai05 929--934 2005


Local Utility Elicitation in GAI Models Darius Braziunas, Craig Boutilier. Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence 42--49 2005


Approximate Linear Programming for First-order MDPs Scott Sanner, Craig Boutilier. uai05 509--517 2005


New Approaches to Optimization and Utility Elicitation in Autonomic Computing Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O Kep hart, Gerald Tesauro, William E. Walsh. aaai05 140--145 2005


Automated Design of Multistage Mechanisms Tuomas Sandholm, Vincent Conitzer, Craig Boutilier. First International Workshop on Incentive Based Computing 2--12 2005


A Decision-Theoretic Approach to Task Assistance for Persons with Dementia Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff Fernie, Alex Mihailidis. ijcai05 1293--1299 2005


CP-networks: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole. Journal of Artificial Intelligence Research 135--191 2004


Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions Craig Boutilier, Tuomas Sandholm, Rob Shields. aaai04 204--211 2004


Preference-based Constrained Optimization with CP-nets Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole. Computational Intelligence 137--157 2004


CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole. J. Artif. Intell. Res. (JAIR) 135-191 2004


VDCBPI: an Approximate Scalable Algorithm for Large Scale POMDPs Pascal Poupart, Craig Boutilier. Advances in Neural Information Processing Systems 17 (NIPS-2004) 1081--1088 2004


Stochastic Local Search for POMDP Controllers Darius Braziunas, Craig Boutilier. Proceedings of the Nineteenth National Conference on Artificial Intelligence 690--696 2004


Bayesian Reinforcement Learning for Coalition Formation Under Uncertainty Georgios Chalkiadakis, Craig Boutilier. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04) 1090--1097 2004


Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty Nathanael Hyafil, Craig Boutilier. Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI 2004) 2004


A Study of Limited-Precision, Incremental Elicitation in Auctions Alexander Kress, Craig Boutilier. 2004


Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh. uai03 89--97 2003


Constraint-based Optimization with the Minimax Decision Criterion Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans. Ninth International Conference on Principles and Practice of Constraint Programming 168--182 2003


Online Queries for Collaborative Filtering Craig Boutilier, Richard S. Zemel. Ninth International Workshop on Artificial Intelligence and Statistics Systems (AI-Stats-03) 2003


Active Collaborative Filtering Craig Boutilier, Richard S. Zemel, Benjamin Marlin. uai03 98--106 2003


On the Foundations of \em Expected Expected Utility Craig Boutilier. ijcai03 285--290 2003


Incremental Utility Elicitation with the Minimax Regret Decision Criterion Tianhan Wang, Craig Boutilier. ijcai03 309--316 2003


Accelerating Reinforcement Learning through Implicit Imitation Bob Price, Craig Boutilier. Journal of Artificial Intelligence Research 569--629 2003


A Bayesian Approach to Imitation in Reinforcement Learning Bob Price, Craig Boutilier. ijcai03 712--717 2003


Coordination in Multiagent Reinforcement Learning: a Bayesian Approach Georgios Chalkiadakis, Craig Boutilier. Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-03) 709--716 2003


Bounded Finite State Controllers Pascal Poupart, Craig Boutilier. Advances in Neural Information Processing Systems 16 (NIPS-2003) 2003


A POMDP Formulation of Preference Elicitation Problems Craig Boutilier. aaai02 239--246 2002


Solving Concisely Expressed Combinatorial Auction Problems Craig Boutilier. aaai02 359--366 2002


Piecewise Linear Value Function Approximation for Factored MDPs Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans. aaai02 292--299 2002


Value-directed Compressions of POMDPs Pascal Poupart, Craig Boutilier. Advances in Neural Information Processing Systems 15 (NIPS-2002) 1547--1554 2002


Greedy Linear Value-approximation for Factored Markov Decision Processes Pascal Poupart, Relu Patrascu, Dale Schuurmans, Craig Boutilier, Carlos Guestrin. aaai02 285--291 2002


Bidding Languages for Combinatorial Auctions Craig Boutilier, Holger H. Hoos. ijcai01 1211--1217 2001


Planning with Concurrent Interacting Actions Craig Boutilier, Ronen I. Brafman. Journal of Artificial Intelligence Research 105--136 2001


UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman. uai01 56--64 2001


UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman. Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI-2001) 56-64 2001


UCP-Networks: A Directed Graphical Representation of Conditional Utilities Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman. UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence University of Washington Seattle Washington USA August 2-5 2001 56-64 2001


Vector-space Analysis of Belief State Approximation for POMDPs Pascal Poupart, Craig Boutilier. uai01 445--452 2001


Imitation and Reinforcement Learning in Agents with Heterogeneous Actions Bob Price, Craig Boutilier, E. Stroulia, S. Matwin. Proceedings 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI 2001) Lecture Notes in Computer Science 111--120 2001


Value-Directed Sampling Methods for Monitoring POMDPs Pascal Poupart, Luis E. Ortiz, Craig Boutilier. uai01 453--461 2001


Decision-Theoretic, High-Level Agent Programming in the Situation Calculus Craig Boutilier, Ray Reiter, Mikhail Soutchanski, Sebastian Thrun. Workshop on Decision-Theoretic Planning, Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR2000) 2000


Stochastic Dynamic Programming with Factored Representations Craig Boutilier, Richard Dearden, Moisés Goldszmidt. Artificial Intelligence 49--107 2000


Approximately Optimal Monitoring of Plan Preconditions Craig Boutilier. uai00 54--62 2000


Decision-Theoretic, High-Level Agent Programming in the Situation Calculus Craig Boutilier, Ray Reiter, Mikhail Soutchanski, Sebastian Thrun. Proceedings of the 7th Conference on Artificial Intelligence (AAAI-00) and of the 12th Conference on Innovative Applications of Artificial Intelligence (IAAI-00) 355--362 2000


Value-Directed Belief State Approximation for POMDPs Pascal Poupart, Craig Boutilier. uai00 497--506 2000


Solving Combinatorial Auctions using Stochastic Local Search Holger H. Hoos, Craig Boutilier. aaai00 22--29 2000


APRICODD: Approximate Policy Construction using Decision Diagrams Robert St-Aubin, Jesse Hoey, Craig Boutilier. Advances in Neural Information Processing Systems 13 (NIPS-2000) 1089--1095 2000


Sequential Auctions for Allocation of Resources with Complementarities Craig Boutilier, Moisés Goldszmidt, Bikash Sabata. ijcai99 527--534 1999


Sequential Optimality and Coordination in Multiagent Systems Craig Boutilier. ijcai99 478--485 1999


Reasoning with Conditional Ceteris Paribus Preference Statements Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole. uai99 71--80 1999


Decision Theoretic Planning: Structural Assumptions and Computational Leverage Craig Boutilier, Thomas Dean, Steve Hanks. Journal of Artificial Intelligence Research 1--94 1999


Continuous Value Function Approximation for Sequential Bidding Policies Craig Boutilier, Moisés Goldszmidt, Bikash Sabata. uai99 81--90 1999


Implicit Imitation in Reinforcement Learning Bob Price, Craig Boutilier. ml99 325--334 1999


SPUDD: Stochastic Planning using Decision Diagrams Jesse Hoey, Robert St-Aubin, Alan Hu, Craig Boutilier. uai99 279--288 1999


A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective Craig Boutilier. aij 281--316 1998


Belief Revision with Unreliable Observations Craig Boutilier, Nir Friedman, Joseph Y. Halpern. aaai98 127--134 1998


Structured Reachability Analysis for Markov Decision Processes Craig Boutilier, Ronen I. Brafman, Christopher Geib. uai98 24--32 1998


The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems Caroline Claus, Craig Boutilier. aaai98 746--752 1998


LPSP: A Linear Plan-level Stochastic Planner Ronen I. Brafman, Holger H. Hoos, Craig Boutilier. 17th Workshop of the UK Planning and Scheduling Special Interest Group 1998


Hierarchical Solution of Markov Decision Processes using Macro-actions Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier. uai98 220--229 1998


Solving Very Large Weakly Coupled Markov Decision Processes Nicolas Meuleau, Milos Hauskrecht, Kee Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier. aaai98 165--172 1998


Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning Craig Boutilier, Ronen I. Brafman, Christopher Geib. ijcai97 1156--1162 1997


Correlated Action Effects in Decision Theoretic Regression Craig Boutilier. uai97 30--37 1997


A Constraint-Based Approach to Preference Elicitation and Decision Making Craig Boutilier, Ronen I. Brafman, Chris Geib, David Poole. AAAI Spring Symposium on Qualitative Decision Theory 1997


Planning with Concurrent Interacting Actions Craig Boutilier, Ronen I. Brafman. aaai97 720--729 1997


Economic Principles of Multiagent Systems (Editorial) Craig Boutilier, Yoav Shoham, Michael P. Wellman. aij 1--6 1997


Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks Adrian Y W Cheuk, Craig Boutilier. uai97 72--79 1997


Structured Solution Methods for Non-Markovian Decision Processes Fahiem Bacchus, Craig Boutilier, Adam J. Grove. AAAI/IAAI 112-117 1997


Abstraction and Approximate Decision Theoretic Planning Richard Dearden, Craig Boutilier. aij 219--283 1997


Structured Solution Methods for Non-Markovian Decision Processes Fahiem Bacchus, Craig Boutilier, Adam J. Grove. Proceedings of the 14th AAAI Conference on Artificial Intelligence (AAAI-1997) 112-117 1997


Structured Solution Methods for Non-Markovian Decision Processes Fahiem Bacchus, Craig Boutilier, Adam Grove. aaai97 112--117 1997


Approximating Value Trees in Structured Dynamic Programming Craig Boutilier, Richard Dearden. ml96 54--62 1996


Iterated Revision and Minimal Revision of Conditional Beliefs Craig Boutilier. jpl 262--305 1996


Context-Specific Independence in Bayesian Networks Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller. uai96 115--123 1996


Computing Optimal Policies for Partially Observable Decision Processes using Compact Representations Craig Boutilier, David Poole. aaai96 1168--1175 1996


Planning, Learning and Coordination in Multiagent Decision Processes Craig Boutilier. Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge 195--210 1996


Abduction to Plausible Causes: An Event-Based Model of Belief Update Craig Boutilier. aij 143--166 1996


Learning Conventions in Multiagent Stochastic Domains Using Likelihood Estimates Craig Boutilier. uai96 106--114 1996


The Frame Problem and Bayesian Network Action Representations Craig Boutilier, Moisés Goldszmidt. Proceedings of the Eleventh Biennial Canadian Conference on Artificial Intelligence 69--83 1996


Rewarding Behaviors Fahiem Bacchus, Craig Boutilier, Adam J. Grove. AAAI/IAAI Vol. 2 1160-1167 1996


Rewarding Behaviors Fahiem Bacchus, Craig Boutilier, Adam J. Grove. Proceedings of the 13th AAAI Conference on Artificial Intelligence (AAAI-1996) 1160-1167 1996


Rewarding Behaviors Fahiem Bacchus, Craig Boutilier, Adam Grove. aaai96 1160--1167 1996


Nondeterministic Actions and the Frame Problem Craig Boutilier, Nir Friedman. AAAI Spring Symposium on Extending Theories of Action: Formal Theory and Practical Applications 39--44 1995


Exploiting Structure in Policy Construction Craig Boutilier, Richard Dearden, Moisés Goldszmidt. ijcai95 1104--1111 1995


On the Revision of Probabilistic Belief States Craig Boutilier. Notre Dame Journal of Formal Logic 158--183 1995


Abduction as Belief Revision Craig Boutilier, Veronica Becher. aij 43--94 1995


Planning Under Uncertainty: Structural Assumptions and Computational Leverage Craig Boutilier, Thomas Dean, Steve Hanks. Proceedings of the Third European Workshop on Planning 1995


Generalized Update: Belief Change in Dynamic Settings Craig Boutilier. ijcai95 1550--1556 1995


Process-Oriented Planning and Average-Reward Optimality Craig Boutilier, Martin L. Puterman. ijcai95 1096--1103 1995


Toward a Logic for Qualitative Decision Theory Craig Boutilier. kr94 75--86 1994