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ORCIDCraig Boutilier
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j37]Jonathan Stray
, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Chloé Bakalar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Xian Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan:
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. Trans. Recomm. Syst. 2(3): 20:1-20:57 (2024)- [j36]Christina Göpfert, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. Trans. Recomm. Syst. 2(4): 30:1-30:37 (2024) - [c184]Craig Boutilier, Martin Mladenov, Guy Tennenholtz:
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. AAAI 2024: 22575-22583 - [c183]Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier:
Demystifying Embedding Spaces using Large Language Models. ICLR 2024 - [c182]Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm:
Model-Free Preference Elicitation. IJCAI 2024: 3493-3503 - [c181]Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier:
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. SIGIR 2024: 2925-2929 - [i80]Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier:
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. CoRR abs/2402.15957 (2024) - [i79]Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier:
Embedding-Aligned Language Models. CoRR abs/2406.00024 (2024) - [i78]Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier:
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. CoRR abs/2409.17436 (2024) - 2023
- [c180]Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier:
A Mixture-of-Expert Approach to RL-based Dialogue Management. ICLR 2023 - [c179]Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier:
Reinforcement Learning with History Dependent Dynamic Contexts. ICML 2023: 34011-34053 - [c178]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS 2023 - [c177]Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier:
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. NeurIPS 2023 - [i77]Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier:
Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR abs/2302.02061 (2023) - [i76]Dhawal Gupta, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier:
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. CoRR abs/2302.10850 (2023) - [i75]Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu:
Aligning Text-to-Image Models using Human Feedback. CoRR abs/2302.12192 (2023) - [i74]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR abs/2305.16381 (2023) - [i73]Guy Tennenholtz, Martin Mladenov, Nadav Merlis, Craig Boutilier:
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics. CoRR abs/2305.18333 (2023) - [i72]Siddharth Prasad, Martin Mladenov, Craig Boutilier:
Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems. CoRR abs/2309.00940 (2023) - [i71]Craig Boutilier, Martin Mladenov, Guy Tennenholtz:
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models. CoRR abs/2309.06375 (2023) - [i70]Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier:
Demystifying Embedding Spaces using Large Language Models. CoRR abs/2310.04475 (2023) - [i69]Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier:
Factual and Personalized Recommendations using Language Models and Reinforcement Learning. CoRR abs/2310.06176 (2023) - [i68]Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan:
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR abs/2310.20091 (2023) - [i67]Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-Wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier:
Preference Elicitation with Soft Attributes in Interactive Recommendation. CoRR abs/2311.02085 (2023) - 2022
- [c176]Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov:
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI 2022: 12287-12293 - [c175]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier:
Thompson Sampling with a Mixture Prior. AISTATS 2022: 7565-7586 - [c174]Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio:
An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS 2022: 6:1-6:4 - [c173]Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO^3: Interactive Multi-Objective Off-Policy Optimization. IJCAI 2022: 3523-3529 - [c172]Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. WWW 2022: 2411-2421 - [i66]Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier:
IMO3: Interactive Multi-Objective Off-Policy Optimization. CoRR abs/2201.09798 (2022) - [i65]Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. CoRR abs/2202.02830 (2022) - [i64]Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier:
A Mixture-of-Expert Approach to RL-based Dialogue Management. CoRR abs/2206.00059 (2022) - [i63]Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy X. Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan:
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. CoRR abs/2207.10192 (2022) - [i62]Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan:
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR abs/2208.02294 (2022) - [i61]Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven A. Sloman, Shannon Vallor, Toby Walsh:
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. CoRR abs/2210.15767 (2022) - 2021
- [c171]Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári:
Meta-Thompson Sampling. ICML 2021: 5884-5893 - [c170]Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. WWW 2021: 3872-3883 - [i60]Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári:
Meta-Thompson Sampling. CoRR abs/2102.06129 (2021) - [i59]Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. CoRR abs/2103.08057 (2021) - [i58]Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. CoRR abs/2105.02377 (2021) - [i57]Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier:
Thompson Sampling with a Mixture Prior. CoRR abs/2106.05608 (2021) - 2020
- [j35]Tyler Lu, Craig Boutilier:
Preference elicitation and robust winner determination for single- and multi-winner social choice. Artif. Intell. 279 (2020) - [j34]Paolo Viappiani, Craig Boutilier:
On the equivalence of optimal recommendation sets and myopically optimal query sets. Artif. Intell. 286: 103328 (2020) - [c169]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI 2020: 10292-10301 - [c168]Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier:
Randomized Exploration in Generalized Linear Bandits. AISTATS 2020: 2066-2076 - [c167]Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier:
CAQL: Continuous Action Q-Learning. ICLR 2020 - [c166]Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier:
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. ICML 2020: 6987-6998 - [c165]Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier:
ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML 2020: 9187-9195 - [c164]Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. IJCAI 2020: 2824-2830 - [c163]Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer:
Differentiable Meta-Learning of Bandit Policies. NeurIPS 2020 - [c162]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. NeurIPS 2020 - [c161]Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier:
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. RecSys 2020: 591-593 - [i56]Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi:
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. CoRR abs/2002.05229 (2020) - [i55]Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier:
BRPO: Batch Residual Policy Optimization. CoRR abs/2002.05522 (2020) - [i54]Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer:
Differentiable Bandit Exploration. CoRR abs/2002.06772 (2020) - [i53]Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier:
ConQUR: Mitigating Delusional Bias in Deep Q-learning. CoRR abs/2002.12399 (2020) - [i52]Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvári, Craig Boutilier:
Differentiable Meta-Learning in Contextual Bandits. CoRR abs/2006.05094 (2020) - [i51]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier:
Latent Bandits Revisited. CoRR abs/2006.08714 (2020) - [i50]Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier:
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. CoRR abs/2008.00104 (2020) - [i49]Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier:
Non-Stationary Latent Bandits. CoRR abs/2012.00386 (2020)
2010 – 2019
- 2019
- [j33]Amirali Salehi-Abari, Craig Boutilier, Kate Larson:
Empathetic decision making in social networks. Artif. Intell. 275: 174-203 (2019) - [c160]Andrew Perrault, Craig Boutilier:
Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. AAMAS 2019: 431-439 - [c159]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier:
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. IJCAI 2019: 2592-2599 - [c158]Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. IJCAI 2019: 2786-2793 - [c157]Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. IJCAI 2019: 3165-3172 - [c156]Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Linear Bandits. UAI 2019: 530-540 - [i48]Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Multi-Armed Bandits. CoRR abs/1902.10089 (2019) - [i47]Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Linear Bandits. CoRR abs/1903.09132 (2019) - [i46]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier:
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR abs/1905.12767 (2019) - [i45]Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. CoRR abs/1905.13559 (2019) - [i44]Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier:
Randomized Exploration in Generalized Linear Bandits. CoRR abs/1906.08947 (2019) - [i43]Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier:
RecSim: A Configurable Simulation Platform for Recommender Systems. CoRR abs/1909.04847 (2019) - [i42]Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier:
CAQL: Continuous Action Q-Learning. CoRR abs/1909.12397 (2019) - [i41]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-based Optimization for Bayesian Preference Elicitation. CoRR abs/1911.09153 (2019) - 2018
- [c155]Craig Boutilier:
Toward User-Centric Recommender Systems. AAMAS 2018: 2 - [c154]Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. IJCAI 2018: 4674-4682 - [c153]Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle:
Data center cooling using model-predictive control. NeurIPS 2018: 3818-3827 - [c152]Tyler Lu, Dale Schuurmans, Craig Boutilier:
Non-delusional Q-learning and value-iteration. NeurIPS 2018: 9971-9981 - [i40]Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. CoRR abs/1805.02363 (2018) - [i39]Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018) - 2017
- [c151]Andrew Perrault, Craig Boutilier:
Multiple-Profile Prediction-of-Use Games. AAMAS Workshops (Selected Papers) 2017: 275-295 - [c150]Andrew Perrault, Craig Boutilier:
Multiple-Profile Prediction-of-Use Games. AAMAS 2017: 1688-1690 - [c149]Andrew Perrault, Craig Boutilier:
Multiple-Profile Prediction-of-Use Games. IJCAI 2017: 366-373 - [c148]Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu:
Logistic Markov Decision Processes. IJCAI 2017: 2486-2493 - [i38]Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans:
Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR abs/1711.11165 (2017) - 2016
- [c147]Craig Boutilier, Tyler Lu:
Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. UAI 2016 - [r1]Craig Boutilier, Jeffrey S. Rosenschein:
Incomplete Information and Communication in Voting. Handbook of Computational Social Choice 2016: 223-258 - 2015
- [j32]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: A utilitarian view. Artif. Intell. 227: 190-213 (2015) - [c146]Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein:
The Pricing War Continues: On Competitive Multi-Item Pricing. AAAI 2015: 972-978 - [c145]Tyler Lu, Craig Boutilier:
Value-Directed Compression of Large-Scale Assignment Problems. AAAI 2015: 1182-1190 - [c144]Xin Sui, Craig Boutilier:
Optimal Group Manipulation in Facility Location Problems. ADT 2015: 505-520 - [c143]Xin Sui, Craig Boutilier:
Approximately Strategy-proof Mechanisms for (Constrained) Facility Location. AAMAS 2015: 605-613 - [c142]Andrew Perrault, Craig Boutilier:
Approximately Stable Pricing for Coordinated Purchasing of Electricity. IJCAI 2015: 2624-2631 - [c141]Amirali Salehi-Abari, Craig Boutilier:
Preference-oriented Social Networks: Group Recommendation and Inference. RecSys 2015: 35-42 - [i37]Craig Boutilier, Britta Dorn, Nicolas Maudet, Vincent Merlin:
Computational Social Choice: Theory and Applications (Dagstuhl Seminar 15241). Dagstuhl Reports 5(6): 1-27 (2015) - 2014
- [j31]Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the value of using group discounts under price competition. Artif. Intell. 216: 163-178 (2014) - [j30]Tyler Lu, Craig Boutilier:
Effective sampling and learning for mallows models with pairwise-preference data. J. Mach. Learn. Res. 15(1): 3783-3829 (2014) - [c140]Joanna Drummond, Craig Boutilier:
Preference Elicitation and Interview Minimization in Stable Matchings. AAAI 2014: 645-653 - [c139]Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier:
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI 2014: 756-762 - [c138]Craig Boutilier, Jérôme Lang, Joel Oren, Héctor Palacios:
Robust Winners and Winner Determination Policies under Candidate Uncertainty. AAAI 2014: 1391-1397 - [c137]Joel Oren, Nina Narodytska, Craig Boutilier:
A Game-Theoretic Analysis of Catalog Optimization. AAAI 2014: 1463-1470 - [c136]Amirali Salehi-Abari, Craig Boutilier:
Empathetic social choice on social networks. AAMAS 2014: 693-700 - [c135]Andrew Perrault, Craig Boutilier:
Efficient coordinated power distribution on private infrastructure. AAMAS 2014: 805-812 - [i36]Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein:
The Pricing War Continues: On Competitive Multi-Item Pricing. CoRR abs/1408.0258 (2014) - 2013
- [c134]Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the Value of Using Group Discounts under Price Competition. AAAI 2013: 683-689 - [c133]Joanna Drummond, Craig Boutilier:
Elicitation and Approximately Stable Matching with Partial Preferences. IJCAI 2013: 97-105 - [c132]Tyler Lu, Craig Boutilier:
Multi-Winner Social Choice with Incomplete Preferences. IJCAI 2013: 263-270 - [c131]Joel Oren, Yuval Filmus, Craig Boutilier:
Efficient Vote Elicitation under Candidate Uncertainty. IJCAI 2013: 309-316 - [c130]Xin Sui, Craig Boutilier, Tuomas Sandholm:
Analysis and Optimization of Multi-Dimensional Percentile Mechanisms. IJCAI 2013: 367-374 - [c129]Xin Sui, Alex Francois-Nienaber, Craig Boutilier:
Multi-Dimensional Single-Peaked Consistency and Its Approximations. IJCAI 2013: 375-382 - [i35]Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman:
UCP-Networks: A Directed Graphical Representation of Conditional Utilities. CoRR abs/1301.2259 (2013) - [i34]Pascal Poupart, Craig Boutilier:
Vector-space Analysis of Belief-state Approximation for POMDPs. CoRR abs/1301.2304 (2013) - [i33]Pascal Poupart, Luis E. Ortiz, Craig Boutilier:
Value-Directed Sampling Methods for POMDPs. CoRR abs/1301.2305 (2013) - [i32]Craig Boutilier:
Approximately Optimal Monitoring of Plan Preconditions. CoRR abs/1301.3839 (2013) - [i31]Pascal Poupart, Craig Boutilier:
Value-Directed Belief State Approximation for POMDPs. CoRR abs/1301.3887 (2013) - [i30]Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole:
Reasoning With Conditional Ceteris Paribus Preference Statem. CoRR abs/1301.6681 (2013) - [i29]Craig Boutilier, Moisés Goldszmidt, Bikash Sabata:
Continuous Value Function Approximation for Sequential Bidding Policies. CoRR abs/1301.6682 (2013) - [i28]Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier:
SPUDD: Stochastic Planning using Decision Diagrams. CoRR abs/1301.6704 (2013) - [i27]Craig Boutilier, Ronen I. Brafman, Christopher W. Geib:
Structured Reachability Analysis for Markov Decision Processes. CoRR abs/1301.7361 (2013) - [i26]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013) - [i25]Craig Boutilier:
Correlated Action Effects in Decision Theoretic Regression. CoRR abs/1302.1522 (2013) - [i24]Adrian Y. W. Cheuk, Craig Boutilier:
Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. CoRR abs/1302.1527 (2013) - [i23]Craig Boutilier:
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. CoRR abs/1302.3561 (2013) - [i22]Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller:
Context-Specific Independence in Bayesian Networks. CoRR abs/1302.3562 (2013) - [i21]Richard Dearden, Craig Boutilier:
Integrating Planning and Execution in Stochastic Domains. CoRR abs/1302.6799 (2013) - [i20]Craig Boutilier:
The Probability of a Possibility: Adding Uncertainty to Default Rules. CoRR abs/1303.1509 (2013) - [i19]Craig Boutilier:
Modal Logics for Qualitative Possibility and Beliefs. CoRR abs/1303.5393 (2013) - [i18]Craig Boutilier, Moisés Goldszmidt:
Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000). CoRR abs/1304.3842 (2013) - 2012
- [j29]Georgios Chalkiadakis, Craig Boutilier:
Sequentially optimal repeated coalition formation under uncertainty. Auton. Agents Multi Agent Syst. 24(3): 441-484 (2012) - [j28]Jesse Hoey, Craig Boutilier, Pascal Poupart, Patrick Olivier, Andrew Monk, Alex Mihailidis:
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare. ACM Trans. Interact. Intell. Syst. 2(4): 20:1-20:36 (2012) - [c128]Craig Boutilier, Ariel D. Procaccia:
A Dynamic Rationalization of Distance Rationalizability. AAAI 2012: 1278-1284 - [c127]Craig Boutilier:
Eliciting forecasts from self-interested experts: scoring rules for decision makers. AAMAS 2012: 737-744 - [c126]Laurent Charlin, Richard S. Zemel, Craig Boutilier:
Active Learning for Matching Problems. ICML 2012 - [c125]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: a utilitarian view. EC 2012: 197-214 - [c124]Tyler Lu, Craig Boutilier:
Matching models for preference-sensitive group purchasing. EC 2012: 723-740 - [c123]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. UAI 2012: 543-553 - [i17]Laurent Charlin, Richard S. Zemel, Craig Boutilier:
A Framework for Optimizing Paper Matching. CoRR abs/1202.3706 (2012) - [i16]Kevin Regan, Craig Boutilier:
Regret-based Reward Elicitation for Markov Decision Processes. CoRR abs/1205.2619 (2012) - [i15]Bowen Hui, Craig Boutilier:
Toward Experiential Utility Elicitation for Interface Customization. CoRR abs/1206.3258 (2012) - [i14]Laurent Charlin, Richard S. Zemel, Craig Boutilier:
Active Learning for Matching Problems. CoRR abs/1206.4647 (2012) - [i13]Darius Braziunas, Craig Boutilier:
Minimax regret based elicitation of generalized additive utilities. CoRR abs/1206.5255 (2012) - [i12]Scott Sanner, Craig Boutilier:
Practical Linear Value-approximation Techniques for First-order MDPs. CoRR abs/1206.6879 (2012) - [i11]Darius Braziunas, Craig Boutilier:
Local Utility Elicitation in GAI Models. CoRR abs/1207.1361 (2012) - [i10]Scott Sanner, Craig Boutilier:
Approximate Linear Programming for First-order MDPs. CoRR abs/1207.1415 (2012) - [i9]Nathanael Hyafil, Craig Boutilier:
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. CoRR abs/1207.4147 (2012) - [i8]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. CoRR abs/1210.4895 (2012) - [i7]Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin:
Active Collaborative Filtering. CoRR abs/1212.2442 (2012) - [i6]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. CoRR abs/1212.2443 (2012) - 2011
- [c122]Xin Sui, Craig Boutilier:
Efficiency and Privacy Tradeoffs in Mechanism Design. AAAI 2011: 738-744 - [c121]Paolo Viappiani, Craig Boutilier:
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! AAAI 2011: 1571-1574 - [c120]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory 2011 - [c119]Tyler Lu, Craig Boutilier:
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. ADT 2011: 135-149 - [c118]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT 2011: 277-291 - [c117]Craig Boutilier:
Preference Elicitation and Preference Learning in Social Choice. CPAIOR 2011: 1 - [c116]Tyler Lu, Craig Boutilier:
Learning Mallows Models with Pairwise Preferences. ICML 2011: 145-152 - [c115]Tyler Lu, Craig Boutilier:
Budgeted Social Choice: From Consensus to Personalized Decision Making. IJCAI 2011: 280-286 - [c114]Tyler Lu, Craig Boutilier:
Robust Approximation and Incremental Elicitation in Voting Protocols. IJCAI 2011: 287-293 - [c113]Kevin Regan, Craig Boutilier:
Eliciting Additive Reward Functions for Markov Decision Processes. IJCAI 2011: 2159-2164 - [c112]Kevin Regan, Craig Boutilier:
Robust Online Optimization of Reward-Uncertain MDPs. IJCAI 2011: 2165-2171 - [c111]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI 2011 - [c110]Laurent Charlin, Richard S. Zemel, Craig Boutilier:
A Framework for Optimizing Paper Matching. UAI 2011: 86-95 - [i5]Craig Boutilier, Thomas L. Dean, Steve Hanks:
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. CoRR abs/1105.5460 (2011) - [i4]Craig Boutilier, Ronen I. Brafman:
Partial-Order Planning with Concurrent Interacting Actions. CoRR abs/1106.0249 (2011) - [i3]Craig Boutilier, Bob Price:
Accelerating Reinforcement Learning through Implicit Imitation. CoRR abs/1106.0681 (2011) - [i2]Craig Boutilier:
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers. CoRR abs/1106.2489 (2011) - [i1]Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole:
CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements. CoRR abs/1107.0023 (2011) - 2010
- [j27]Jesse Hoey, Pascal Poupart, Axel von Bertoldi, Tammy Craig, Craig Boutilier, Alex Mihailidis:
Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process. Comput. Vis. Image Underst. 114(5): 503-519 (2010) - [c109]William E. Walsh, Craig Boutilier, Tuomas Sandholm, Rob Shields, George L. Nemhauser, David C. Parkes:
Automated Channel Abstraction for Advertising Auctions. AAAI 2010: 887-894 - [c108]Kevin Regan, Craig Boutilier:
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. AAAI 2010: 1127-1133 - [c107]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Simultaneous Elicitation of Preference Features and Utility. AAAI 2010: 1160-1167 - [c106]Paolo Viappiani, Craig Boutilier:
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. NIPS 2010: 2352-2360 - [c105]Darius Braziunas, Craig Boutilier:
Assessing regret-based preference elicitation with the UTPREF recommendation system. EC 2010: 219-228 - [c104]Tyler Lu, Craig Boutilier:
The unavailable candidate model: a decision-theoretic view of social choice. EC 2010: 263-274
2000 – 2009
- 2009
- [j26]Scott Sanner, Craig Boutilier:
Practical solution techniques for first-order MDPs. Artif. Intell. 173(5-6): 748-788 (2009) - [c103]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Online feature elicitation in interactive optimization. ICML 2009: 73-80 - [c102]Paolo Viappiani, Craig Boutilier:
Optimal Set Recommendations Based on Regret. ITWP 2009 - [c101]Bowen Hui, Grant A. Partridge, Craig Boutilier:
A probabilistic mental model for estimating disruption. IUI 2009: 287-296 - [c100]Paolo Viappiani, Craig Boutilier:
Regret-based optimal recommendation sets in conversational recommender systems. RecSys 2009: 101-108 - [c99]Craig Boutilier, Kevin Regan, Paolo Viappiani:
Preference elicitation with subjective features. RecSys 2009: 341-344 - [c98]Kevin Regan, Craig Boutilier:
Regret-based Reward Elicitation for Markov Decision Processes. UAI 2009: 444-451 - [e2]Craig Boutilier:
IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009. 2009 [contents] - 2008
- [j25]Darius Braziunas, Craig Boutilier:
Elicitation of Factored Utilities. AI Mag. 29(4): 79-92 (2008) - [j24]Gitte Lindgaard, Peter Egan, Colin N. Jones, Catherine Pyper, Monique Frize, Robin C. Walker, Craig Boutilier, Bowen Hui, Sheila Narasimhan, Janette Folkens, Bill Winogron:
Intelligent Decision Support in Medicine: Back to Bayes? J. Univers. Comput. Sci. 14(16): 2720-2736 (2008) - [c97]Craig Boutilier, David C. Parkes, Tuomas Sandholm, William E. Walsh:
Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing. AAAI 2008: 30-37 - [c96]William E. Walsh, David C. Parkes, Tuomas Sandholm, Craig Boutilier:
Computing Reserve Prices and Identifying the Value Distribution in Real-world Auctions with Market Disruptions. AAAI 2008: 1499-1502 - [c95]Georgios Chalkiadakis, Craig Boutilier:
Sequential decision making in repeated coalition formation under uncertainty. AAMAS (1) 2008: 347-354 - [c94]Bowen Hui, Sean Gustafson, Pourang Irani, Craig Boutilier:
The need for an interaction cost model in adaptive interfaces. AVI 2008: 458-461 - [c93]Bowen Hui, Craig Boutilier:
Toward Experiential Utility Elicitation for Interface Customization. UAI 2008: 298-305 - 2007
- [c92]Nathanael Hyafil, Craig Boutilier:
Partial Revelation Automated Mechanism Design. AAAI 2007: 72-78 - [c91]Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shimony, Ajay Mani, Craig Boutilier:
Computing Optimal Subsets. AAAI 2007: 1231-1236 - [c90]Scott Sanner, Craig Boutilier:
Approximate Solution Techniques for Factored First-Order MDPs. ICAPS 2007: 288-295 - [c89]Georgios Chalkiadakis, Evangelos Markakis, Craig Boutilier:
Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept. AAMAS 2007: 64 - [c88]Georgios Chalkiadakis, Craig Boutilier:
Coalitional Bargaining with Agent Type Uncertainty. IJCAI 2007: 1227-1232 - [c87]Nathanael Hyafil, Craig Boutilier:
Mechanism Design with Partial Revelation. IJCAI 2007: 1333-1340 - [c86]Tuomas Sandholm, Vincent Conitzer, Craig Boutilier:
Automated Design of Multistage Mechanisms. IJCAI 2007: 1500-1506 - [c85]Darius Braziunas, Craig Boutilier:
Minimax regret based elicitation of generalized additive utilities. UAI 2007: 25-32 - 2006
- [j23]Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans:
Constraint-based optimization and utility elicitation using the minimax decision criterion. Artif. Intell. 170(8-9): 686-713 (2006) - [j22]Jennifer Boger, Jesse Hoey, Pascal Poupart, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis:
A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily Living. IEEE Trans. Inf. Technol. Biomed. 10(2): 323-333 (2006) - [c84]Nathanael Hyafil, Craig Boutilier:
Regret-based Incremental Partial Revelation Mechanisms. AAAI 2006: 672-678 - [c83]Darius Braziunas, Craig Boutilier:
Preference Elicitation and Generalized Additive Utility. AAAI 2006: 1573-1576 - [c82]Bowen Hui, Craig Boutilier:
Who's asking for help?: a Bayesian approach to intelligent assistance. IUI 2006: 186-193 - [c81]Scott Sanner, Craig Boutilier:
Practical Linear Value-approximation Techniques for First-order MDPs. UAI 2006 - 2005
- [j21]Craig Boutilier:
The Influence of Influence Diagrams on Artificial Intelligence. Decis. Anal. 2(4): 229-231 (2005) - [c80]Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI 2005: 140-145 - [c79]Jesse Hoey, Pascal Poupart, Craig Boutilier, Alex Mihailidis:
POMDP Models for Assistive Technology. AAAI Fall Symposium: Caring Machines 2005: 51-58 - [c78]Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans:
Regret-based Utility Elicitation in Constraint-based Decision Problems. IJCAI 2005: 929-934 - [c77]Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis:
A Decision-Theoretic Approach to Task Assistance for Persons with Dementia. IJCAI 2005: 1293-1299 - [c76]Darius Braziunas, Craig Boutilier:
Local Utility Elicitation in GAI Models. UAI 2005: 42-49 - [c75]Scott Sanner, Craig Boutilier:
Approximate Linear Programming for First-order MDPs. UAI 2005: 509-517 - 2004
- [j20]Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole:
Preference-Based Constrained Optimization with CP-Nets. Comput. Intell. 20(2): 137-157 (2004) - [j19]Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole:
CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. J. Artif. Intell. Res. 21: 135-191 (2004) - [c74]Craig Boutilier, Tuomas Sandholm, Rob Shields:
Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions. AAAI 2004: 204-211 - [c73]Darius Braziunas, Craig Boutilier:
Stochastic Local Search for POMDP Controllers. AAAI 2004: 690-696 - [c72]Georgios Chalkiadakis, Craig Boutilier:
Bayesian Reinforcement Learning for Coalition Formation under Uncertainty. AAMAS 2004: 1090-1097 - [c71]Alexander Kress, Craig Boutilier:
A Study of Limited-Precision, Incremental Elicitation in Auctions. AAMAS 2004: 1344-1345 - [c70]Pascal Poupart, Craig Boutilier:
VDCBPI: an Approximate Scalable Algorithm for Large POMDPs. NIPS 2004: 1081-1088 - [c69]Nathanael Hyafil, Craig Boutilier:
Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. UAI 2004: 268-277 - 2003
- [j18]Bob Price, Craig Boutilier:
Accelerating Reinforcement Learning through Implicit Imitation. J. Artif. Intell. Res. 19: 569-629 (2003) - [c68]Richard S. Zemel, Craig Boutilier:
An Active Approach to Collaborative Filtering. AISTATS 2003: 330-337 - [c67]Georgios Chalkiadakis, Craig Boutilier:
Coordination in multiagent reinforcement learning: a Bayesian approach. AAMAS 2003: 709-716 - [c66]Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans:
Constraint-Based Optimization with the Minimax Decision Criterion. CP 2003: 168-182 - [c65]Craig Boutilier:
On the Foundations of Expected Expected Utility. IJCAI 2003: 285-290 - [c64]Tianhan Wang, Craig Boutilier:
Incremental Utility Elicitation with the Minimax Regret Decision Criterion. IJCAI 2003: 309-318 - [c63]Bob Price, Craig Boutilier:
A Bayesian Approach to Imitation in Reinforcement Learning. IJCAI 2003: 712-720 - [c62]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh:
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. IJCAI 2003: 1458-1459 - [c61]Pascal Poupart, Craig Boutilier:
Bounded Finite State Controllers. NIPS 2003: 823-830 - [c60]Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh:
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI 2003: 89-97 - [c59]Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin:
Active Collaborative Filtering. UAI 2003: 98-106 - 2002
- [c58]Craig Boutilier:
A POMDP Formulation of Preference Elicitation Problems. AAAI/IAAI 2002: 239-246 - [c57]Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin:
Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI 2002: 285-291 - [c56]Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans:
Piecewise Linear Value Function Approximation for Factored MDPs. AAAI/IAAI 2002: 292-299 - [c55]Craig Boutilier:
Solving Concisely Expressed Combinatorial Auction Problems. AAAI/IAAI 2002: 359-366 - [c54]Pascal Poupart, Craig Boutilier:
Value-Directed Compression of POMDPs. NIPS 2002: 1547-1554 - 2001
- [j17]Craig Boutilier, Ronen I. Brafman:
Partial-Order Planning with Concurrent Interacting Actions. J. Artif. Intell. Res. 14: 105-136 (2001) - [c53]Bob Price, Craig Boutilier:
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions. AI 2001: 111-120 - [c52]Craig Boutilier, Raymond Reiter, Bob Price:
Symbolic Dynamic Programming for First-Order MDPs. IJCAI 2001: 690-700 - [c51]Craig Boutilier, Holger H. Hoos:
Bidding Languages for Combinatorial Auctions. IJCAI 2001: 1211-1217 - [c50]Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman:
UCP-Networks: A Directed Graphical Representation of Conditional Utilities. UAI 2001: 56-64 - [c49]Pascal Poupart, Craig Boutilier:
Vector-space Analysis of Belief-state Approximation for POMDPs. UAI 2001: 445-452 - [c48]Pascal Poupart, Luis E. Ortiz, Craig Boutilier:
Value-Directed Sampling Methods for POMDPs. UAI 2001: 453-461 - 2000
- [j16]Craig Boutilier, Richard Dearden, Moisés Goldszmidt:
Stochastic dynamic programming with factored representations. Artif. Intell. 121(1-2): 49-107 (2000) - [c47]Holger H. Hoos, Craig Boutilier:
Solving Combinatorial Auctions Using Stochastic Local Search. AAAI/IAAI 2000: 22-29 - [c46]Craig Boutilier, Raymond Reiter, Mikhail Soutchanski, Sebastian Thrun:
Decision-Theoretic, High-Level Agent Programming in the Situation Calculus. AAAI/IAAI 2000: 355-362 - [c45]Craig Boutilier:
Decision Making under Uncertainty: Operations Research Meets AI (Again). AAAI/IAAI 2000: 1145-1150 - [c44]Robert St-Aubin, Jesse Hoey, Craig Boutilier:
APRICODD: Approximate Policy Construction Using Decision Diagrams. NIPS 2000: 1089-1095 - [c43]Craig Boutilier:
Approximately Optimal Monitoring of Plan Preconditions. UAI 2000: 54-62 - [c42]Pascal Poupart, Craig Boutilier:
Value-Directed Belief State Approximation for POMDPs. UAI 2000: 497-506 - [e1]Craig Boutilier, Moisés Goldszmidt:
UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000. Morgan Kaufmann 2000, ISBN 1-55860-709-9 [contents]
1990 – 1999
- 1999
- [j15]Craig Boutilier:
Multiagent Systems: Challenges and Opportunities for Decision-Theoretic Planning. AI Mag. 20(4): 35-43 (1999) - [j14]Craig Boutilier, Thomas L. Dean, Steve Hanks:
Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. 11: 1-94 (1999) - [c41]Bob Price, Craig Boutilier:
Implicit Imitation in Multiagent Reinforcement Learning. ICML 1999: 325-334 - [c40]Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata:
Resource Allocation Using Sequential Auctions. Agent Mediated Electronic Commerce (IJCAI Workshop) 1999: 131-152 - [c39]Craig Boutilier:
Sequential Optimality and Coordination in Multiagent Systems. IJCAI 1999: 478-485 - [c38]Craig Boutilier, Moisés Goldszmidt, Bikash Sabata:
Sequential Auctions for the Allocation of Resources with Complementarities. IJCAI 1999: 527-523 - [c37]Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole:
Reasoning With Conditional Ceteris Paribus Preference Statements. UAI 1999: 71-80 - [c36]Craig Boutilier, Moisés Goldszmidt, Bikash Sabata:
Continuous Value Function Approximation for Sequential Bidding Policies. UAI 1999: 81-90 - [c35]Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier:
SPUDD: Stochastic Planning using Decision Diagrams. UAI 1999: 279-288 - [p1]Craig Boutilier:
Knowledge Representation for Stochastic Decision Process. Artificial Intelligence Today 1999: 111-152 - 1998
- [j13]Craig Boutilier:
A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective. Artif. Intell. 98(1-2): 281-316 (1998) - [c34]Craig Boutilier, Nir Friedman, Joseph Y. Halpern:
Belief Revision with Unreliable Observations. AAAI/IAAI 1998: 127-134 - [c33]Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172 - [c32]Caroline Claus, Craig Boutilier:
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. AAAI/IAAI 1998: 746-752 - [c31]Craig Boutilier, Ronen I. Brafman, Christopher W. Geib:
Structured Reachability Analysis for Markov Decision Processes. UAI 1998: 24-32 - [c30]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229 - 1997
- [j12]Richard Dearden, Craig Boutilier:
Abstraction and Approximate Decision-Theoretic Planning. Artif. Intell. 89(1-2): 219-283 (1997) - [j11]Craig Boutilier, Yoav Shoham, Michael P. Wellman:
Economic Principles of Multi-Agent Systems. Artif. Intell. 94(1-2): 1-6 (1997) - [c29]Fahiem Bacchus, Craig Boutilier, Adam J. Grove:
Structured Solution Methods for Non-Markovian Decision Processes. AAAI/IAAI 1997: 112-117 - [c28]Craig Boutilier, Ronen I. Brafman:
Planning with Concurrent Interacting Actions. AAAI/IAAI 1997: 720-726 - [c27]Craig Boutilier, Ronen I. Brafman, Christopher W. Geib:
Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning. IJCAI 1997: 1156-1162 - [c26]Craig Boutilier:
Correlated Action Effects in Decision Theoretic Regression. UAI 1997: 30-37 - [c25]Adrian Y. W. Cheuk, Craig Boutilier:
Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. UAI 1997: 72-79 - 1996
- [j10]Craig Boutilier:
Abduction to Plausible Causes: An Event-Based model of Belief Update. Artif. Intell. 83(1): 143-166 (1996) - [j9]Craig Boutilier:
Iterated revision and minimal change of conditional beliefs. J. Philos. Log. 25(3): 263-305 (1996) - [c24]Fahiem Bacchus, Craig Boutilier, Adam J. Grove:
Rewarding Behaviors. AAAI/IAAI, Vol. 2 1996: 1160-1167 - [c23]Craig Boutilier, David Poole:
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. AAAI/IAAI, Vol. 2 1996: 1168-1175 - [c22]Craig Boutilier, Moisés Goldszmidt:
The Frame Problem and Bayesian Network Action Representation. AI 1996: 69-83 - [c21]Craig Boutilier, Richard Dearden:
Approximate Value Trees in Structured Dynamic Programming. ICML 1996: 54-62 - [c20]Craig Boutilier:
Planning, Learning and Coordination in Multiagent Decision Processes. TARK 1996: 195-210 - [c19]Craig Boutilier:
Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. UAI 1996: 106-114 - [c18]Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller:
Context-Specific Independence in Bayesian Networks. UAI 1996: 115-123 - 1995
- [j8]Craig Boutilier, Verónica Becher:
Abduction as Belief Revision. Artif. Intell. 77(1): 43-94 (1995) - [j7]Craig Boutilier:
On the Revision of Probabilistic Belief States. Notre Dame J. Formal Log. 36(1): 158-183 (1995) - [c17]Craig Boutilier, Martin L. Puterman:
Process-Oriented Planning and Average-Reward Optimality. IJCAI 1995: 1096-1103 - [c16]Craig Boutilier, Richard Dearden, Moisés Goldszmidt:
Exploiting Structure in Policy Construction. IJCAI 1995: 1104-1113 - [c15]Craig Boutilier:
Generalized Update: Belief Change in Dynamic Settings. IJCAI 1995: 1550-1556 - 1994
- [j6]Craig Boutilier:
Unifying Default Reasoning and Belief Revision in a Modal Framework. Artif. Intell. 68(1): 33-85 (1994) - [j5]Craig Boutilier:
Conditional Logics of Normality: A Modal Approach. Artif. Intell. 68(1): 87-154 (1994) - [j4]Craig Boutilier:
Believing on the Basis of Qualitative Rules: Commentary on Kyburg. Comput. Intell. 10: 26-32 (1994) - [j3]Craig Boutilier:
Modal logics for qualitative possibility theory. Int. J. Approx. Reason. 10(2): 173-201 (1994) - [c14]Craig Boutilier, Richard Dearden:
Using Abstractions for Decision-Theoretic Planning with Time Constraints. AAAI 1994: 1016-1022 - [c13]Craig Boutilier:
Toward a Logic for Qualitative Decision Theory. KR 1994: 75-86 - [c12]Richard Dearden, Craig Boutilier:
Integrating Planning and Execution in Stochastic Domains. UAI 1994: 162-169 - 1993
- [j2]Craig Boutilier:
On the Semantics of Stable Inheritance Reasoning. Comput. Intell. 9: 73-110 (1993) - [c11]Craig Boutilier, Verónica Becher:
Abduction As Belief Revision: A Model of Preferred Explanations. AAAI 1993: 642-648 - [c10]Craig Boutilier, Moisés Goldszmidt:
Revision by Conditional Beliefs. AAAI 1993: 649-654 - [c9]Craig Boutilier:
Revision Sequences and Nested Conditionals. IJCAI 1993: 519-525 - [c8]Craig Boutilier:
The Probability of a Possibility: Adding Uncertainty to Default Rules. UAI 1993: 461-468 - 1992
- [b1]Craig Boutilier:
Conditional logics for default reasoning and belief revision. University of Toronto, Canada, 1992 - [j1]Craig Boutilier:
Epistemic Entrenchment in autoepistemic logic. Fundam. Informaticae 17(1-2): 5-29 (1992) - [c7]Craig Boutilier:
A Logic for Revision and Subjunctive Queries. AAAI 1992: 609-615 - [c6]Craig Boutilier:
Normative, Subjunctive and Autoepistemic Defaults. ECAI Workshop on Knowledge Representation and Reasoning 1992: 74-97 - [c5]Craig Boutilier:
Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test. KR 1992: 685-696 - [c4]Craig Boutilier:
Modal Logics for Qualitative Possibility and Beliefs. UAI 1992: 17-24 - 1991
- [c3]Craig Boutilier:
Inaccessible Worlds and Irrelevance: Preliminary Report. IJCAI 1991: 413-418 - 1990
- [c2]Craig Boutilier:
Conditional Logics of Normality as Modal Systems. AAAI 1990: 594-599
1980 – 1989
- 1989
- [c1]Craig Boutilier:
A Semantical Approach to Stable Inheritance Reasoning. IJCAI 1989: 1134-1139
Coauthor Index
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