Craig Boutilier

	2012
155		Georgios Chalkiadakis, Craig Boutilier: Sequentially optimal repeated coalition formation under uncertainty. Autonomous Agents and Multi-Agent Systems 24(3): 441-484 (2012)
154		Laurent Charlin, Richard S. Zemel, Craig Boutilier: A Framework for Optimizing Paper Matching CoRR abs/1202.3706: (2012)
	2011
153		Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier: A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory 2011
152		Xin Sui, Craig Boutilier: Efficiency and Privacy Tradeoffs in Mechanism Design. AAAI 2011
151		Paolo Viappiani, Craig Boutilier: Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! AAAI 2011
150		Tyler Lu, Craig Boutilier: Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. ADT 2011: 135-149
149		Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier: Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT 2011: 277-291
148		Craig Boutilier: Preference Elicitation and Preference Learning in Social Choice. CPAIOR 2011: 1
147		Tyler Lu, Craig Boutilier: Learning Mallows Models with Pairwise Preferences. ICML 2011: 145-152
146		Kevin Regan, Craig Boutilier: Eliciting Additive Reward Functions for Markov Decision Processes. IJCAI 2011: 2159-2164
145		Kevin Regan, Craig Boutilier: Robust Online Optimization of Reward-Uncertain MDPs. IJCAI 2011: 2165-2171
144		Tyler Lu, Craig Boutilier: Budgeted Social Choice: From Consensus to Personalized Decision Making. IJCAI 2011: 280-286
143		Tyler Lu, Craig Boutilier: Robust Approximation and Incremental Elicitation in Voting Protocols. IJCAI 2011: 287-293
142		Laurent Charlin, Richard S. Zemel, Craig Boutilier: A Framework for Optimizing Paper Matching. UAI 2011: 86-95
141		Craig Boutilier, Thomas Dean, Steve Hanks: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage CoRR abs/1105.5460: (2011)
140		Craig Boutilier, Ronen I. Brafman: Partial-Order Planning with Concurrent Interacting Actions CoRR abs/1106.0249: (2011)
139		Craig Boutilier, Bob Price: Accelerating Reinforcement Learning through Implicit Imitation CoRR abs/1106.0681: (2011)
138		Craig Boutilier: Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers CoRR abs/1106.2489: (2011)
137		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
136		William E. Walsh, Craig Boutilier, Tuomas Sandholm, Rob Shields, George L. Nemhauser, David C. Parkes: Automated Channel Abstraction for Advertising Auctions. AAAI 2010
135		Kevin Regan, Craig Boutilier: Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. AAAI 2010
134		Craig Boutilier, Kevin Regan, Paolo Viappiani: Simultaneous Elicitation of Preference Features and Utility. AAAI 2010
133		Darius Braziunas, Craig Boutilier: Assessing regret-based preference elicitation with the UTPREF recommendation system. ACM Conference on Electronic Commerce 2010: 219-228
132		Tyler Lu, Craig Boutilier: The unavailable candidate model: a decision-theoretic view of social choice. ACM Conference on Electronic Commerce 2010: 263-274
131		Paolo Viappiani, Craig Boutilier: Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. NIPS 2010: 2352-2360
130		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. Computer Vision and Image Understanding 114(5): 503-519 (2010)
	2009
129		Craig Boutilier: IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009 IJCAI 2009
128		Craig Boutilier, Kevin Regan, Paolo Viappiani: Online feature elicitation in interactive optimization. ICML 2009: 10
127		Paolo Viappiani, Craig Boutilier: Optimal Set Recommendations Based on Regret. ITWP 2009
126		Bowen Hui, Grant Partridge, Craig Boutilier: A probabilistic mental model for estimating disruption. IUI 2009: 287-296
125		Paolo Viappiani, Craig Boutilier: Regret-based optimal recommendation sets in conversational recommender systems. RecSys 2009: 101-108
124		Craig Boutilier, Kevin Regan, Paolo Viappiani: Preference elicitation with subjective features. RecSys 2009: 341-344
123		Kevin Regan, Craig Boutilier: Regret-based Reward Elicitation for Markov Decision Processes. UAI 2009: 444-451
122		Scott Sanner, Craig Boutilier: Practical solution techniques for first-order MDPs. Artif. Intell. 173(5-6): 748-788 (2009)
	2008
121		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
120		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
119		Georgios Chalkiadakis, Craig Boutilier: Sequential decision making in repeated coalition formation under uncertainty. AAMAS (1) 2008: 347-354
118		Bowen Hui, Sean Gustafson, Pourang Irani, Craig Boutilier: The need for an interaction cost model in adaptive interfaces. AVI 2008: 458-461
117		Bowen Hui, Craig Boutilier: Toward Experiential Utility Elicitation for Interface Customization. UAI 2008: 298-305
116		Darius Braziunas, Craig Boutilier: Elicitation of Factored Utilities. AI Magazine 29(4): 79-92 (2008)
115		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. UCS 14(16): 2720-2736 (2008)
	2007
114		Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shimony, Ajay Mani, Craig Boutilier: Computing Optimal Subsets. AAAI 2007: 1231-1236
113		Nathanael Hyafil, Craig Boutilier: Partial Revelation Automated Mechanism Design. AAAI 2007: 72-78
112		Georgios Chalkiadakis, Evangelos Markakis, Craig Boutilier: Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept. AAMAS 2007: 64
111		Scott Sanner, Craig Boutilier: Approximate Solution Techniques for Factored First-Order MDPs. ICAPS 2007: 288-295
110		Georgios Chalkiadakis, Craig Boutilier: Coalitional Bargaining with Agent Type Uncertainty. IJCAI 2007: 1227-1232
109		Nathanael Hyafil, Craig Boutilier: Mechanism Design with Partial Revelation. IJCAI 2007: 1333-1340
108		Tuomas Sandholm, Vincent Conitzer, Craig Boutilier: Automated Design of Multistage Mechanisms. IJCAI 2007: 1500-1506
107		Darius Braziunas, Craig Boutilier: Minimax regret based elicitation of generalized additive utilities. UAI 2007: 25-32
	2006
106		Darius Braziunas, Craig Boutilier: Preference Elicitation and Generalized Additive Utility. AAAI 2006: 1573-1576
105		Nathanael Hyafil, Craig Boutilier: Regret-based Incremental Partial Revelation Mechanisms. AAAI 2006: 672-678
104		Bowen Hui, Craig Boutilier: Who's asking for help?: a Bayesian approach to intelligent assistance. IUI 2006: 186-193
103		Scott Sanner, Craig Boutilier: Practical Linear Value-approximation Techniques for First-order MDPs. UAI 2006
102		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)
101		Jennifer Boger, Jesse Hoey, Pascal Poupart, Craig Boutilier, Geoff Fernie, Alex Mihailidis: A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily Living. IEEE Transactions on Information Technology in Biomedicine 10(2): 323-333 (2006)
	2005
100		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
99		Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff Fernie, Alex Mihailidis: A Decision-Theoretic Approach to Task Assistance for Persons with Dementia. IJCAI 2005: 1293-1299
98		Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans: Regret-based Utility Elicitation in Constraint-based Decision Problems. IJCAI 2005: 929-934
97		Darius Braziunas, Craig Boutilier: Local Utility Elicitation in GAI Models. UAI 2005: 42-49
96		Scott Sanner, Craig Boutilier: Approximate Linear Programming for First-order MDPs. UAI 2005: 509-517
95		Craig Boutilier: The Influence of Influence Diagrams on Artificial Intelligence. Decision Analysis 2(4): 229-231 (2005)
	2004
94		Craig Boutilier, Tuomas Sandholm, Rob Shields: Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions. AAAI 2004: 204-211
93		Darius Braziunas, Craig Boutilier: Stochastic Local Search for POMDP Controllers. AAAI 2004: 690-696
92		Georgios Chalkiadakis, Craig Boutilier: Bayesian Reinforcement Learning for Coalition Formation under Uncertainty. AAMAS 2004: 1090-1097
91		Alexander Kress, Craig Boutilier: A Study of Limited-Precision, Incremental Elicitation in Auctions. AAMAS 2004: 1344-1345
90		Pascal Poupart, Craig Boutilier: VDCBPI: an Approximate Scalable Algorithm for Large POMDPs. NIPS 2004
89		Nathanael Hyafil, Craig Boutilier: Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. UAI 2004: 268-277
88		Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole: Preference-Based Constrained Optimization with CP-Nets. Computational Intelligence 20(2): 137-157 (2004)
87		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. (JAIR) 21: 135-191 (2004)
	2003
86		Georgios Chalkiadakis, Craig Boutilier: Coordination in multiagent reinforcement learning: a Bayesian approach. AAMAS 2003: 709-716
85		Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans: Constraint-Based Optimization with the Minimax Decision Criterion. CP 2003: 168-182
84		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
83		Craig Boutilier: On the Foundations of Expected Expected Utility. IJCAI 2003: 285-290
82		Tianhan Wang, Craig Boutilier: Incremental Utility Elicitation with the Minimax Regret Decision Criterion. IJCAI 2003: 309-318
81		Bob Price, Craig Boutilier: A Bayesian Approach to Imitation in Reinforcement Learning. IJCAI 2003: 712-720
80		Pascal Poupart, Craig Boutilier: Bounded Finite State Controllers. NIPS 2003
79		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
78		Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin: Active Collaborative Filtering. UAI 2003: 98-106
77		Bob Price, Craig Boutilier: Accelerating Reinforcement Learning through Implicit Imitation. J. Artif. Intell. Res. (JAIR) 19: 569-629 (2003)
	2002
76		Craig Boutilier: A POMDP Formulation of Preference Elicitation Problems. AAAI/IAAI 2002: 239-246
75		Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin: Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI 2002: 285-291
74		Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans: Piecewise Linear Value Function Approximation for Factored MDPs. AAAI/IAAI 2002: 292-299
73		Craig Boutilier: Solving Concisely Expressed Combinatorial Auction Problems. AAAI/IAAI 2002: 359-366
72		Pascal Poupart, Craig Boutilier: Value-Directed Compression of POMDPs. NIPS 2002: 1547-1554
	2001
71		Bob Price, Craig Boutilier: Imitation and Reinforcement Learning in Agents with Heterogeneous Actions. Canadian Conference on AI 2001: 111-120
70		Craig Boutilier, Holger H. Hoos: Bidding Languages for Combinatorial Auctions. IJCAI 2001: 1211-1217
69		Craig Boutilier, Raymond Reiter, Bob Price: Symbolic Dynamic Programming for First-Order MDPs. IJCAI 2001: 690-700
68		Pascal Poupart, Craig Boutilier: Vector-space Analysis of Belief-state Approximation for POMDPs. UAI 2001: 445-452
67		Pascal Poupart, Luis E. Ortiz, Craig Boutilier: Value-Directed Sampling Methods for POMDPs. UAI 2001: 453-461
66		Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman: UCP-Networks: A Directed Graphical Representation of Conditional Utilities. UAI 2001: 56-64
65		Craig Boutilier, Ronen I. Brafman: Partial-Order Planning with Concurrent Interacting Actions. J. Artif. Intell. Res. (JAIR) 14: 105-136 (2001)
	2000
64		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
63		Craig Boutilier: Decision Making under Uncertainty: Operations Research Meets AI (Again). AAAI/IAAI 2000: 1145-1150
62		Holger H. Hoos, Craig Boutilier: Solving Combinatorial Auctions Using Stochastic Local Search. AAAI/IAAI 2000: 22-29
61		Craig Boutilier, Raymond Reiter, Mikhail Soutchanski, Sebastian Thrun: Decision-Theoretic, High-Level Agent Programming in the Situation Calculus. AAAI/IAAI 2000: 355-362
60		Robert St-Aubin, Jesse Hoey, Craig Boutilier: APRICODD: Approximate Policy Construction Using Decision Diagrams. NIPS 2000: 1089-1095
59		Pascal Poupart, Craig Boutilier: Value-Directed Belief State Approximation for POMDPs. UAI 2000: 497-506
58		Craig Boutilier: Approximately Optimal Monitoring of Plan Preconditions. UAI 2000: 54-62
57		Craig Boutilier, Richard Dearden, Moisés Goldszmidt: Stochastic dynamic programming with factored representations. Artif. Intell. 121(1-2): 49-107 (2000)
	1999
56		Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata: Resource Allocation Using Sequential Auctions. Agent Mediated Electronic Commerce (IJCAI Workshop) 1999: 131-152
55		Bob Price, Craig Boutilier: Implicit Imitation in Multiagent Reinforcement Learning. ICML 1999: 325-334
54		Craig Boutilier: Sequential Optimality and Coordination in Multiagent Systems. IJCAI 1999: 478-485
53		Craig Boutilier, Moisés Goldszmidt, Bikash Sabata: Sequential Auctions for the Allocation of Resources with Complementarities. IJCAI 1999: 527-523
52		Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier: SPUDD: Stochastic Planning using Decision Diagrams. UAI 1999: 279-288
51		Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole: Reasoning With Conditional Ceteris Paribus Preference Statements. UAI 1999: 71-80
50		Craig Boutilier, Moisés Goldszmidt, Bikash Sabata: Continuous Value Function Approximation for Sequential Bidding Policies. UAI 1999: 81-90
49		Craig Boutilier: Knowledge Representation for Stochastic Decision Process. Artificial Intelligence Today 1999: 111-152
48		Craig Boutilier: Multiagent Systems: Challenges and Opportunities for Decision-Theoretic Planning. AI Magazine 20(4): 35-43 (1999)
47		Craig Boutilier, Thomas Dean, Steve Hanks: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. (JAIR) 11: 1-94 (1999)
	1998
46		Craig Boutilier, Nir Friedman, Joseph Y. Halpern: Belief Revision with Unreliable Observations. AAAI/IAAI 1998: 127-134
45		Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172
44		Caroline Claus, Craig Boutilier: The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. AAAI/IAAI 1998: 746-752
43		Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
42		Craig Boutilier, Ronen I. Brafman, Christopher W. Geib: Structured Reachability Analysis for Markov Decision Processes. UAI 1998: 24-32
41		Craig Boutilier: A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective. Artif. Intell. 98(1-2): 281-316 (1998)
	1997
40		Fahiem Bacchus, Craig Boutilier, Adam J. Grove: Structured Solution Methods for Non-Markovian Decision Processes. AAAI/IAAI 1997: 112-117
39		Craig Boutilier, Ronen I. Brafman: Planning with Concurrent Interacting Actions. AAAI/IAAI 1997: 720-726
38		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
37		Craig Boutilier: Correlated Action Effects in Decision Theoretic Regression. UAI 1997: 30-37
36		Adrian Y. W. Cheuk, Craig Boutilier: Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. UAI 1997: 72-79
35		Richard Dearden, Craig Boutilier: Abstraction and Approximate Decision-Theoretic Planning. Artif. Intell. 89(1-2): 219-283 (1997)
34		Craig Boutilier, Yoav Shoham, Michael P. Wellman: Economic Principles of Multi-Agent Systems. Artif. Intell. 94(1-2): 1-6 (1997)
	1996
33		Fahiem Bacchus, Craig Boutilier, Adam J. Grove: Rewarding Behaviors. AAAI/IAAI, Vol. 2 1996: 1160-1167
32		Craig Boutilier, David Poole: Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. AAAI/IAAI, Vol. 2 1996: 1168-1175
31		Craig Boutilier, Moisés Goldszmidt: The Frame Problem and Bayesian Network Action Representation. Canadian Conference on AI 1996: 69-83
30		Craig Boutilier, Richard Dearden: Approximate Value Trees in Structured Dynamic Programming. ICML 1996: 54-62
29		Craig Boutilier: Planning, Learning and Coordination in Multiagent Decision Processes. TARK 1996: 195-210
28		Craig Boutilier: Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. UAI 1996: 106-114
27		Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller: Context-Specific Independence in Bayesian Networks. UAI 1996: 115-123
26		Craig Boutilier: Abduction to Plausible Causes: An Event-Based model of Belief Update. Artif. Intell. 83(1): 143-166 (1996)
	1995
25		Craig Boutilier, Martin L. Puterman: Process-Oriented Planning and Average-Reward Optimality. IJCAI 1995: 1096-1103
24		Craig Boutilier, Richard Dearden, Moisés Goldszmidt: Exploiting Structure in Policy Construction. IJCAI 1995: 1104-1113
23		Craig Boutilier: Generalized Update: Belief Change in Dynamic Settings. IJCAI 1995: 1550-1556
22		Craig Boutilier, Verónica Becher: Abduction as Belief Revision. Artif. Intell. 77(1): 43-94 (1995)
21		Craig Boutilier: On the Revision of Probabilistic Belief States. Notre Dame Journal of Formal Logic 36(1): 158-183 (1995)
	1994
20		Craig Boutilier, Richard Dearden: Using Abstractions for Decision-Theoretic Planning with Time Constraints. AAAI 1994: 1016-1022
19		Craig Boutilier: Toward a Logic for Qualitative Decision Theory. KR 1994: 75-86
18		Richard Dearden, Craig Boutilier: Integrating Planning and Execution in Stochastic Domains. UAI 1994: 162-169
17		Craig Boutilier: Unifying Default Reasoning and Belief Revision in a Modal Framework. Artif. Intell. 68(1): 33-85 (1994)
16		Craig Boutilier: Conditional Logics of Normality: A Modal Approach. Artif. Intell. 68(1): 87-154 (1994)
15		Craig Boutilier: Believing on the Basis of Qualitative Rules: Commentary on Kyburg. Computational Intelligence 10: 26-32 (1994)
14		Craig Boutilier: Modal logics for qualitative possibility theory. Int. J. Approx. Reasoning 10(2): 173-201 (1994)
	1993
13		Craig Boutilier, Verónica Becher: Abduction As Belief Revision: A Model of Preferred Explanations. AAAI 1993: 642-648
12		Craig Boutilier, Moisés Goldszmidt: Revision by Conditional Beliefs. AAAI 1993: 649-654
11		Craig Boutilier: Revision Sequences and Nested Conditionals. IJCAI 1993: 519-525
10		Craig Boutilier: The Probability of a Possibility: Adding Uncertainty to Default Rules. UAI 1993: 461-468
9		Craig Boutilier: On the Semantics of Stable Inheritance Reasoning. Computational Intelligence 9: 73-110 (1993)
	1992
8		Craig Boutilier: A Logic for Revision and Subjunctive Queries. AAAI 1992: 609-615
7		Craig Boutilier: Normative, Subjunctive and Autoepistemic Defaults. ECAI Workshop on Knowledge Representation and Reasoning 1992: 74-97
6		Craig Boutilier: Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test. KR 1992: 685-696
5		Craig Boutilier: Modal Logics for Qualitative Possibility and Beliefs. UAI 1992: 17-24
4		Craig Boutilier: Epistemic Entrenchment in autoepistemic logic. Fundam. Inform. 17(1-2): 5-29 (1992)
	1991
3		Craig Boutilier: Inaccessible Worlds and Irrelevance: Preliminary Report. IJCAI 1991: 413-418
	1990
2		Craig Boutilier: Conditional Logics of Normality as Modal Systems. AAAI 1990: 594-599
	1989
1		Craig Boutilier: A Semantical Approach to Stable Inheritance Reasoning. IJCAI 1989: 1134-1139

Coauthor Index

1	Fahiem Bacchus	[33] [40] [66]
2	Verónica Becher	[13] [22]
3	Axel von Bertoldi	[130]
4	Maxim Binshtok	[114]
5	Jennifer Boger	[99] [101]
6	Ronen I. Brafman	[38] [39] [42] [51] [65] [66] [87] [88] [114] [137] [140]
7	Darius Braziunas	[93] [97] [106] [107] [116] [133]
8	Georgios Chalkiadakis	[86] [92] [110] [112] [119] [155]
9	Laurent Charlin	[142] [154]
10	Adrian Y. W. Cheuk	[36]
11	Caroline Claus	[44]
12	Vincent Conitzer	[108]
13	Tammy Craig	[130]
14	Rajarshi Das	[79] [84] [100]
15	Thomas Dean	[43] [45] [47] [141]
16	Richard Dearden	[18] [20] [24] [30] [35] [57]
17	Carmel Domshlak	[87] [88] [137]
18	Peter Egan	[115]
19	Geoff Fernie	[99] [101]
20	Janette Folkens	[115]
21	Nir Friedman	[27] [46]
22	Monique Frize	[115]
23	Christopher W. Geib	[38] [42]
24	Moisés Goldszmidt	[12] [24] [27] [31] [50] [53] [56] [57] [64]
25	Adam J. Grove	[33] [40]
26	Carlos Guestrin	[75]
27	Sean Gustafson	[118]
28	Joseph Y. Halpern	[46]
29	Howard J. Hamilton	[149] [153]
30	Steve Hanks	[47] [141]
31	Milos Hauskrecht	[43] [45]
32	Jesse Hoey	[52] [60] [99] [101] [130]
33	Holger H. Hoos (Holger Hoos)	[51] [62] [70] [87] [88] [137]
34	Alan J. Hu	[52]
35	Bowen Hui	[104] [115] [117] [118] [126]
36	Nathanael Hyafil	[89] [105] [109] [113]
37	Pourang Irani (Pourang P. Irani)	[118]
38	Colin N. Jones	[115]
39	Leslie Pack Kaelbling	[43] [45]
40	Jeffrey O. Kephart	[79] [84] [100]
41	Kee-Eung Kim	[45]
42	Daphne Koller	[27]
43	Alexander Kress	[91]
44	Gitte Lindgaard	[115]
45	Tyler Lu	[132] [143] [144] [147] [150]
46	Ajay Mani	[114]
47	Evangelos Markakis (Vangelis Markakis)	[112]
48	Benjamin M. Marlin	[78]
49	Nicolas Meuleau	[43] [45]
50	Alex Mihailidis	[99] [101] [130]
51	Claire Monteleoni	[56]
52	Sheila Narasimhan	[115]
53	George L. Nemhauser	[136]
54	Luis E. Ortiz	[67]
55	David C. Parkes	[120] [121] [136]
56	Grant Partridge	[126]
57	Relu Patrascu	[74] [75] [85] [98] [100] [102]
58	Leonid Peshkin	[45]
59	David Poole	[32] [51] [87] [88] [137]
60	Pascal Poupart	[59] [67] [68] [72] [74] [75] [80] [85] [90] [98] [99] [101] [102] [130]
61	Bob Price	[55] [69] [71] [77] [81] [139]
62	Martin L. Puterman	[25]
63	Catherine Pyper	[115]
64	Kevin Regan	[123] [124] [128] [134] [135] [145] [146]
65	Raymond Reiter	[61] [69]
66	Bikash Sabata	[50] [53] [56]
67	Tuomas Sandholm	[94] [108] [120] [121] [136]
68	Scott Sanner	[96] [103] [111] [122]
69	Dale Schuurmans	[74] [75] [85] [98] [102]
70	Rob Shields	[94] [136]
71	Solomon Eyal Shimony	[114]
72	Yoav Shoham	[34]
73	Mikhail Soutchanski	[61]
74	Robert St-Aubin	[52] [60]
75	Xin Sui	[152]
76	Gerald Tesauro	[79] [100]
77	Sebastian Thrun	[61]
78	Paolo Viappiani	[124] [125] [127] [128] [131] [134] [149] [151] [153]
79	Robin C. Walker	[115]
80	William E. Walsh	[79] [84] [100] [120] [121] [136]
81	Tianhan Wang	[82]
82	Michael P. Wellman	[34]
83	Bill Winogron	[115]
84	Richard S. Zemel	[78] [142] [154]
85	Sandra Zilles	[149] [153]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page