Craig Boutilier

Craig Boutilier, Georgios Chalkiadakis, Craig Boutilier, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Imitation and Reinforcement Learning in Agents with Heterogeneous Actions

Craig Boutilier, Bob Price, Craig Boutilier, 2001, Canadian Conference on AI.

UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000

Craig Boutilier, Moises Goldszmidt, 2000, UAI.

Efficient coordinated power distribution on private infrastructure

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2014, AAMAS.

CAQL: Continuous Action Q-Learning pdf

Craig Boutilier, Christian Tjandraatmadja, Yinlam Chow, 2020, ICLR.

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

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2010, Comput. Vis. Image Underst..

RecSim: A Configurable Simulation Platform for Recommender Systems pdf

Craig Boutilier, Jing Wang, Rui Wu, 2019, ArXiv.

UCP-Networks: A Directed Graphical Representation of Conditional Utilities pdf

Ronen I. Brafman, Craig Boutilier, Fahiem Bacchus, 2001, UAI.

Stochastic dynamic programming with factored representations

Craig Boutilier, Richard Dearden, Moisés Goldszmidt, 2000, Artif. Intell..

A Semantical Approach to Stable Inheritance Reasoning

Craig Boutilier, 1989, IJCAI.

Economic Principles of Multi-Agent Systems

Craig Boutilier, Yoav Shoham, Michael P. Wellman, 1997, Artif. Intell..

Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies

Craig Boutilier, Kevin Regan, Craig Boutilier, 2010, AAAI.

Symbolic Dynamic Programming for First-Order MDPs

Craig Boutilier, Raymond Reiter, Bob Price, 2001, IJCAI.

IJCAI Organization

Wolfgang Wahlster, Fausto Giunchiglia, Craig Boutilier, 2007, IJCAI.

The Influence of Influence Diagrams on Artificial Intelligence

Craig Boutilier, Craig Boutilier, 2005, Decis. Anal..

People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare

Patrick Olivier, Jesse Hoey, Alex Mihailidis, 2012, TIIS.

Integrating Planning and Execution in Stochastic Domains pdf

Craig Boutilier, Richard Dearden, Craig Boutilier, 1994, UAI.

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing pdf

Craig Boutilier, Heng-Tze Cheng, Rui Wu, 2020, ArXiv.

New Approaches to Optimization and Utility Elicitation in Autonomic Computing

Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, 2005, AAAI.

Semi-supervised learning of a POMDP model of Patient-Caregiver Interactions

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2005 .

Iterated revision and minimal change of conditional beliefs

Craig Boutilier, Craig Boutilier, 1996, J. Philos. Log..

Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 2000 .

Craig Boutilier, Craig Boutilier, 1997, UAI.

Reasoning With Conditional Ceteris Paribus Preference Statements

Ronen I. Brafman, Craig Boutilier, Holger H. Hoos, 1999, UAI.

Conditional Logics of Normality as Modal Systems

Craig Boutilier, 1990, AAAI.

Computational Social Choice: Theory and Applications (Dagstuhl Seminar 15241)

Craig Boutilier, Nicolas Maudet, Vincent Merlin, 2015, Dagstuhl Reports.

Optimal social choice functions: a utilitarian view

Craig Boutilier, Ariel D. Procaccia, Ioannis Caragiannis, 2012, EC '12.

Optimal Group Manipulation in Facility Location Problems

Craig Boutilier, Xin Sui, Craig Boutilier, 2015, ADT.

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology pdf

Craig Boutilier, Heng-Tze Cheng, Rui Wu, 2019, ArXiv.

A modal analysis of subjunctive queries

Craig Boutilier, Craig Boutilier, 1994 .

Multi-Winner Social Choice with Incomplete Preferences

Craig Boutilier, Tyler Lu, Craig Boutilier, 2013, IJCAI.

Knowledge Representation for Stochastic Decision Process

Craig Boutilier, Craig Boutilier, 1999, Artificial Intelligence Today.

Planning with Concurrent Interacting Actions

Ronen I. Brafman, Craig Boutilier, Craig Boutilier, 1997, AAAI/IAAI.

APRICODD: Approximate Policy Construction Using Decision Diagrams

Jesse Hoey, Craig Boutilier, Robert St-Aubin, 2000, NIPS.

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

Craig Boutilier, Paolo Viappiani, Craig Boutilier, 2010, NIPS.

Efficient Vote Elicitation under Candidate Uncertainty

Craig Boutilier, Yuval Filmus, Joel Oren, 2013, IJCAI.

BRPO: Batch Residual Policy Optimization pdf

Craig Boutilier, Honglak Lee, Ofir Nachum, 2020, ArXiv.

Efficiency and Privacy Tradeoffs in Mechanism Design

Craig Boutilier, Xin Sui, 2011, AAAI.

Differentiable Bandit Exploration pdf

Craig Boutilier, Manzil Zaheer, Branislav Kveton, 2020, ArXiv.

Extending theories of action : formal theory & practical applications : papers from the 1995 AAAI Symposium, March 27-29, Stanford, California

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1995 .

Preference Elicitation and Interview Minimization in Stable Matchings

Craig Boutilier, Joanna Drummond, Craig Boutilier, 2014, AAAI.

Practical solution techniques for first-order MDPs

Scott Sanner, Craig Boutilier, Craig Boutilier, 2009, Artif. Intell..

Matching models for preference-sensitive group purchasing

Craig Boutilier, Tyler Lu, Craig Boutilier, 2012, EC '12.

Seq2Slate: Re-ranking and Slate Optimization with RNNs pdf

Elad Eban, Craig Boutilier, Ofer Meshi, 2018, ArXiv.

Gradient-based Optimization for Bayesian Preference Elicitation pdf

Craig Boutilier, Qingqing Huang, Tyler Lu, 2019, AAAI.

Simultaneous Elicitation of Preference Features and Utility

Craig Boutilier, Paolo Viappiani, Kevin Regan, 2010, AAAI.

Intelligent decision support in medicine: back to Bayes?

Craig Boutilier, Colin Neil Jones, Monique Frize, 2007, ECCE '07.

Solving concisely expressed combinatorial auction problems

Craig Boutilier, Craig Boutilier, 2002, AAAI/IAAI.

Approximately Strategy-proof Mechanisms for (Constrained) Facility Location

Craig Boutilier, Xin Sui, Craig Boutilier, 2015, AAMAS.

Resource Allocation Using Sequential Auctions

Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, 1999, Agent Mediated Electronic Commerce.

Multiple-Profile Prediction-of-Use Games

Craig Boutilier, Andrew Perrault, Craig Boutilier, 2017, AAMAS.

A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective

Craig Boutilier, Craig Boutilier, 1998, Artif. Intell..

Effective sampling and learning for mallows models with pairwise-preference data

Craig Boutilier, Tyler Lu, Craig Boutilier, 2014, J. Mach. Learn. Res..

Automated Channel Abstraction for Advertising Auctions

Craig Boutilier, George L. Nemhauser, David C. Parkes, 2010, AAAI.

Sequential Auctions for the Allocation of Resources with Complementarities

Craig Boutilier, Moisés Goldszmidt, Bikash Sabata, 1999, IJCAI.

A Methodological Framework for Decision-theoretic Adaptation of Software Interaction and Assistance

Craig Boutilier, Bowen Hui, Craig Boutilier, 2011 .

On the revision of conditional belief sets

Craig Boutilier, Moisés Goldszmidt, M. Goldszmidt, 1996 .

A planning system based on Markov decision processes to guide people with dementia through activities of daily living

Jesse Hoey, Alex Mihailidis, Craig Boutilier, 2006, IEEE Transactions on Information Technology in Biomedicine.

Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!

Craig Boutilier, Paolo Viappiani, 2011, AAAI.

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011

Craig Boutilier, Paolo Viappiani, Craig Boutilier, 2011, AAAI.

Who's asking for help?: a Bayesian approach to intelligent assistance

Craig Boutilier, Bowen Hui, Craig Boutilier, 2006, IUI '06.

Partial Revelation Automated Mechanism Design

Craig Boutilier, Nathanael Hyafil, 2007, AAAI.

Solving Very Large Weakly Coupled Markov Decision Processes

Kee-Eung Kim, Milos Hauskrecht, Craig Boutilier, 1998, AAAI/IAAI.

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

Craig Boutilier, Raymond Reiter, Mikhail Soutchanski, 2000, AAAI/IAAI.

Analysis and Optimization of Multi-Dimensional Percentile Mechanisms

Craig Boutilier, Xin Sui, Tuomas Sandholm, 2013, IJCAI.

Toward a Logic for Qualitative Decision Theory

Craig Boutilier, Craig Boutilier, 1994, KR.

Non-Stationary Latent Bandits pdf

Craig Boutilier, Amr Ahmed, Branislav Kveton, 2020, ArXiv.

Hierarchical Solution of Markov Decision Processes using Macro-actions pdf

Milos Hauskrecht, Craig Boutilier, Leslie Pack Kaelbling, 1998, UAI.

Social Choice : From Consensus to Personalized Decision Making

Craig Boutilier, Tyler Lu, Craig Boutilier, 2011 .

Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning

Ronen I. Brafman, Christopher W. Geib, Craig Boutilier, 1997, IJCAI.

Value-Directed Belief State Approximation for POMDPs pdf

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2000, UAI.

Implicit Imitation in Multiagent Reinforcement Learning

Craig Boutilier, Bob Price, Craig Boutilier, 1999, ICML.

On the value of using group discounts under price competition

Craig Boutilier, Moshe Tennenholtz, Reshef Meir, 2013, Artif. Intell..

Process-Oriented Planning and Average-Reward Optimality

Craig Boutilier, Martin L. Puterman, M. Puterman, 1995, IJCAI.

ON THE SEMANTICS OF STABLE INHERITANCE REASONING

Craig Boutilier, Craig Boutilier, 1993, Comput. Intell..

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG

Craig Boutilier, Dustin Tran, Nicolas Mayoraz, 2020, RecSys.

Value-Directed Compression of Large-Scale Assignment Problems

Craig Boutilier, Tyler Lu, Craig Boutilier, 2015, AAAI.

Accelerating reinforcement learning through imitation

Craig Boutilier, Robert Roy Price, Craig Boutilier, 2003 .

Assessing regret-based preference elicitation with the UTPREF recommendation system

Craig Boutilier, Darius Braziunas, Craig Boutilier, 2010, EC '10.

Optimal social choice functions: A utilitarian view

Craig Boutilier, Ariel D. Procaccia, Ioannis Caragiannis, 2015, Artif. Intell..

Planning, Learning and Coordination in Multiagent Decision Processes

Craig Boutilier, Craig Boutilier, 1996, TARK.

Generalized Update: Belief Change in Dynamic Settings

Craig Boutilier, Craig Boutilier, 1995, IJCAI.

Eliciting Additive Reward Functions for Markov Decision Processes

Craig Boutilier, Kevin Regan, Craig Boutilier, 2011, IJCAI.

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare

Craig Boutilier, Ariel D. Procaccia, Pingzhong Tang, 2012, UAI.

Rewarding Behaviors

Craig Boutilier, Fahiem Bacchus, Adam J. Grove, 1996, AAAI/IAAI, Vol. 2.

A Dynamic Rationalization of Distance Rationalizability

Craig Boutilier, Ariel D. Procaccia, 2012, AAAI.

Value-Directed Sampling Methods for POMDPs pdf

Craig Boutilier, Pascal Poupart, Luis E. Ortiz, 2001, UAI.

Automated Design of Multistage Mechanisms

Vincent Conitzer, Craig Boutilier, Tuomas Sandholm, 2007, IJCAI.

Toward User-Centric Recommender Systems

Craig Boutilier, 2018, AAMAS.

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage pdf

Craig Boutilier, Thomas L. Dean, Steve Hanks, 1999, J. Artif. Intell. Res..

Modal logics for qualitative possibility theory

Craig Boutilier, Craig Boutilier, 1994, Int. J. Approx. Reason..

Active Learning for Matching Problems pdf

Craig Boutilier, Richard S. Zemel, Laurent Charlin, 2012, ICML.

Differentiable Meta-Learning of Bandit Policies

Craig Boutilier, Csaba Szepesvári, Branislav Kveton, 2020, NeurIPS.

Bounded Finite State Controllers

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2003, NIPS.

Practical Linear Value-approximation Techniques for First-order MDPs pdf

Scott Sanner, Craig Boutilier, 2006, UAI.

Robust Approximation and Incremental Elicitation in Voting Protocols

Craig Boutilier, Tyler Lu, Craig Boutilier, 2011, IJCAI.

Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test

Craig Boutilier, Craig Boutilier, 1992, KR.

Abduction As Belief Revision: A Model of Preferred Explanations

Craig Boutilier, Verónica Becher, Craig Boutilier, 1993, AAAI.

Reasoning with conditional ceteris paribus statements

Ronen I. Brafman, Craig Boutilier, Holger H. Hoos, 1999, UAI 1999.

Data center cooling using model-predictive control

Craig Boutilier, Nevena Lazic, Tyler Lu, 2018, NeurIPS.

Learning and planning in structured worlds

Craig Boutilier, Richard Dearden, Craig Boutilier, 2000 .

Structured Reachability Analysis for Markov Decision Processes

Ronen I. Brafman, Christopher W. Geib, Craig Boutilier, 1998, UAI.

Differentiable Meta-Learning in Contextual Bandits pdf

Craig Boutilier, Manzil Zaheer, Branislav Kveton, 2020, ArXiv.

Decision Making under Uncertainty: Operations Research Meets AI (Again)

Craig Boutilier, Craig Boutilier, 2000, AAAI/IAAI.

Non-delusional Q-learning and value-iteration

Craig Boutilier, Dale Schuurmans, Tyler Lu, 2018, NeurIPS.

Incomplete Information and Communication in Voting

Craig Boutilier, Jeffrey S. Rosenschein, Craig Boutilier, 2016, Handbook of Computational Social Choice.

VDCBPI: an Approximate Scalable Algorithm for Large POMDPs

Craig Boutilier, Pascal Poupart, Craig Boutilier, 2004, NIPS.

Conditional Logics of Normality: A Modal Approach

Craig Boutilier, Craig Boutilier, 1994, Artif. Intell..

Regret-based Reward Elicitation for Markov Decision Processes pdf

Craig Boutilier, Kevin Regan, Craig Boutilier, 2009, UAI.

BRPO: Batch Residual Policy Optimization

Craig Boutilier, Honglak Lee, Ofir Nachum, 2020, IJCAI.

A study of limited-precision, incremental elicitation in auctions

Craig Boutilier, Alexander Kress, Craig Boutilier, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Structured Solution Methods for Non-Markovian Decision Processes

Craig Boutilier, Fahiem Bacchus, Adam J. Grove, 1997, AAAI/IAAI.

Abduction as Belief Revision

Craig Boutilier, Verónica Becher, Craig Boutilier, 1995, Artif. Intell..

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

Konstantina Christakopoulou, Craig Boutilier, Ed H. Chi, 2021, WWW.

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems pdf

Craig Boutilier, Dustin Tran, Nicolas Mayoraz, 2021, ArXiv.

Meta-Thompson Sampling pdf

Craig Boutilier, Manzil Zaheer, Branislav Kveton, 2021, ICML.

Thompson Sampling with a Mixture Prior pdf

Craig Boutilier, Manzil Zaheer, Mohammad Ghavamzadeh, 2021, ArXiv.