Edmund H. Durfee - researchr alias

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2011

Comparing Action-Query Strategies in Semi-Autonomous AgentsRobert Cohn, Edmund H. Durfee, Satinder P. Singh. AAAI 2011: [doi]

2010

Selecting Operator Queries Using Expected Myopic GainRobert Cohn, Michael Maxim, Edmund H. Durfee, Satinder P. Singh. iat 2010: 40-47 [doi]

A Comparison of Algorithms for Solving the Multiagent Simple Temporal ProblemJames C. Boerkoel Jr., Edmund H. Durfee. aips 2010: 26-33 [doi]

Partitioning the multiagent simple temporal problem for concurrency and privacyJames C. Boerkoel Jr., Edmund H. Durfee. atal 2010: 1421-1422 [doi]

Generalized solution techniques for preference-based constrained optimization with CP-netsJames C. Boerkoel Jr., Edmund H. Durfee, Keith Purrington. atal 2010: 291-298 [doi]

Ordered Multi-variable Multi-constrained Distributed Constraint Optimization FrameworkChristopher Portway, Edmund H. Durfee. iat 2010: 379-382 [doi]

The multi variable multi constrained distributed constraint optimization frameworkChristopher Portway, Edmund H. Durfee. atal 2010: 1385-1386 [doi]

From policies to influences: a framework for nonlocal abstraction in transition-dependent Dec-POMDP agentsStefan J. Witwicki, Edmund H. Durfee. atal 2010: 1397-1398 [doi]

Influence-Based Policy Abstraction for Weakly-Coupled Dec-POMDPsStefan J. Witwicki, Edmund H. Durfee. aips 2010: 185-192 [doi]

Resource-Driven Mission-Phasing Techniques for Constrained Agents in Stochastic EnvironmentsE. H. Durfee Wu, Edmund H. Durfee. jair, 38:415-473, 2010. [doi]

2009

2008

Planning for Coordination and Coordination for PlanningEdmund H. Durfee. webist 2008: 1-3 [doi]

Hybrid Constraint Tightening for Solving Hybrid Scheduling ProblemsJames C. Boerkoel Jr., Edmund H. Durfee. AAAI 2008: 1446-1449

NP-Completeness of Outcome Optimization for Partial CP-NetsKeith Purrington, Edmund H. Durfee. AAAI 2008: 1826-1827

Commitment-Based Service CoordinationStefan J. Witwicki, Edmund H. Durfee. socase 2008: 134-148 [doi]

2007

2006

Resource Allocation Among Agents with MDP-Induced PreferencesDmitri A. Dolgov, Edmund H. Durfee. jair, 27:505-549, 2006. [doi]

Resource allocation among agents with preferences induced by factored MDPsDmitri A. Dolgov, Edmund H. Durfee. atal 2006: 297-304 [doi]

Symmetric approximate linear programming for factored MDPs with application to constrained problemsDmitri A. Dolgov, Edmund H. Durfee. AMAI, 47(3-4):273-293, 2006. [doi]

Mathematical programming for deliberation scheduling in time-limited domainsJianhui Wu, Edmund H. Durfee. atal 2006: 874-881 [doi]

Mixed-integer linear programming for transition-independent decentralized MDPsJianhui Wu, Edmund H. Durfee. atal 2006: 1058-1060 [doi]

2005

An efficient algorithm for multiagent plan coordinationJeffrey S. Cox, Edmund H. Durfee. atal 2005: 828-835 [doi]

A distributed framework for solving the Multiagent Plan Coordination ProblemJeffrey S. Cox, Edmund H. Durfee, Thomas Bartold. atal 2005: 821-827 [doi]

Computationally-efficient combinatorial auctions for resource allocation in weakly-coupled MDPsDmitri A. Dolgov, Edmund H. Durfee. atal 2005: 657-664 [doi]

Stationary Deterministic Policies for Constrained MDPs with Multiple Rewards, Costs, and Discount FactorsDmitri A. Dolgov, Edmund H. Durfee. IJCAI 2005: 1326-1331 [doi]

Towards Exploiting Duality in Approximate Linear Programming for MDPsDmitri A. Dolgov, Edmund H. Durfee. AAAI 2005: 1606-1607

Automated resource-driven mission phasing techniques for constrained agentsJianhui Wu, Edmund H. Durfee. atal 2005: 331-338 [doi]

2004

Efficient Mechanisms for Multiagent Plan MergingJeffrey S. Cox, Edmund H. Durfee. atal 2004: 1342-1343 [doi]

Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision ProcessesDmitri A. Dolgov, Edmund H. Durfee. aips 2004: 315-324

Graphical Models in Local, Asymmetric Multi-Agent Markov Decision ProcessesDmitri A. Dolgov, Edmund H. Durfee. atal 2004: 956-963 [doi]

Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision ProcessesDmitri A. Dolgov, Edmund H. Durfee. amai 2004: [doi]

Use of Markov Chains to Design an Agent Bidding Strategy for Continuous Double AuctionsSunju Park, Edmund H. Durfee, William P. Birmingham. jair, 22:175-214, 2004. [doi]

The Impact of Communication Costs and Limitations on Price Wars in an Information EconomyJianhui Wu, Edmund H. Durfee. atal 2004: 1205-1212 [doi]

2003

Limiting disruption in multiagent replanningThomas Bartold, Edmund H. Durfee. atal 2003: 49-56 [doi]

Congregation Formation in Multiagent SystemsChristopher H. Brooks, Edmund H. Durfee. AAMAS, 7(1-2):145-170, 2003. [doi]

Improving Learning Performance by Applying Economic KnowledgeChristopher H. Brooks, Robert S. Gazzale, Jeffrey K. MacKie-Mason, Edmund H. Durfee. amec 2004: 124-144 [doi]

Improving learning performance by applying economic knowledgeChristopher H. Brooks, Robert S. Gazzale, Jeffrey K. MacKie-Mason, Edmund H. Durfee. sigecom 2003: 252-253 [doi]

Discovering and exploiting synergy between hierarchical planning agentsJeffrey S. Cox, Edmund H. Durfee. atal 2003: 281-288 [doi]

Approximating Optimal Policies for Agents with Limited Execution ResourcesDmitri A. Dolgov, Edmund H. Durfee. IJCAI 2003: 1107-1112

Constructing optimal policies for agents with constrained architecturesDmitri A. Dolgov, Edmund H. Durfee. atal 2003: 974-975 [doi]

Resource allocation for a limited real-time agentHaksun Li, Ella M. Atkins, Edmund H. Durfee, Kang G. Shin. atal 2003: 1050-1051 [doi]

Multiagent planning for agents with internal execution resource constraintsHaksun Li, Edmund H. Durfee, Kang G. Shin. atal 2003: 560-567 [doi]

Predicting the Expected Behavior of Agents that Learn About Agents: The CLRI FrameworkJosé M. Vidal, Edmund H. Durfee. AAMAS, 6(1):77-107, 2003.

2002

Coalition Agents Experiment: Multiagent Cooperation in International CoalitionsDavid N. Allsopp, Patrick Beautement, Jeffrey M. Bradshaw, Edmund H. Durfee, Michael Kirton, Craig A. Knoblock, Niranjan Suri, Austin Tate, Craig W. Thompson. expert, 17(3):26-35, 2002. [doi]

Congregating and market formationChristopher H. Brooks, Edmund H. Durfee. atal 2002: 96-103 [doi]

Using Landscape Theory to Measure Learning Difficulty for Adaptive AgentsChristopher H. Brooks, Edmund H. Durfee. AAMAS 2003: 291-305 [doi]

Model Selection in an Information Economy: Choosing What to LearnChristopher H. Brooks, Robert S. Gazzale, Rajarshi Das, Jeffrey O. Kephart, Jeffrey K. MacKie-Mason, Edmund H. Durfee. ci, 18(4):566-582, 2002.

Satisficing strategies for resource-limited policy search in dynamic environmentsDmitri A. Dolgov, Edmund H. Durfee. atal 2002: 1325-1332 [doi]

Strategies for Discovering Coordination Needs in MultiAgent SystemsEdmund H. Durfee. ukmas 2002: 19-26 [doi]

EditorialEdmund H. Durfee, Sarit Kraus, Hideyuki Nakashima, Milind Tambe. ai, 142(2):95-97, 2002. [doi]

2001

2000

Automated Learning of Pricing and Bundling Strategies in Information EconomiesChristopher H. Brooks, Edmund H. Durfee. AAAI 2000: 1066

An Introduction to Congregating in Multiagent SystemsChristopher H. Brooks, Edmund H. Durfee, Aaron A. Armstrong. icmas 2000: 79-86 [doi]

Price wars and niche discovery in an information economyChristopher H. Brooks, Edmund H. Durfee, Rajarshi Das. sigecom 2000: 95-106 [doi]

Performance of Coordinating Concurrent Hierarchical Planning Agents Using Summary InformationBradley J. Clement, Edmund H. Durfee. icmas 2000: 373-374 [doi]

Performance of Coordinating Concurrent Hierarchical Planning Agents Using Summary InformationBradley J. Clement, Edmund H. Durfee. atal 2001: 213-227 [doi]

Rational Coordination in Multi-Agent EnvironmentsPiotr J. Gmytrasiewicz, Edmund H. Durfee. AAMAS, 3(4):319-350, 2000.

Interleaved Plan Coordination and Execution in Dynamic Multi-Agent DomainsPradeep M. Pappachan, Edmund H. Durfee. icmas 2000: 425-426 [doi]

Emergent Properties of a Market-based Digital Library with Strategic AgentsSunju Park, Edmund H. Durfee, William P. Birmingham. AAMAS, 3(1):33-51, 2000.

1999

Planning and Resource Allocation for Hard Real-Time, Fault-Tolerant Plan ExecutionElla M. Atkins, Tarek F. Abdelzaher, Kang G. Shin, Edmund H. Durfee. agents 1999: 244-251 [doi]

Automated strategy searches in an electronic goods market: learning and complex price schedulesChristopher H. Brooks, Scott A. Fay, Rajarshi Das, Jeffrey K. MacKie-Mason, Jeffrey O. Kephart, Edmund H. Durfee. sigecom 1999: 31-40 [doi]

Theory for Coordinating Concurrent Hierarchical Planning Agents Using Summary InformationBradley J. Clement, Edmund H. Durfee. AAAI 1999: 495-502

Top-Down Search for Coordinating the Hierarchical Plans of Multiple AgentsBradley J. Clement, Edmund H. Durfee. agents 1999: 252-259 [doi]

A Survey of Research in Distributed, Continual PlanningMarie desJardins, Edmund H. Durfee, Charles L. Ortiz Jr., Michael Wolverton. aim, 20(4):13-22, 1999.

Practically CoordinatingEdmund H. Durfee. aim, 20(1):99-116, 1999.

Distributed Continual Planning for Unmanned Ground Vehicle TeamsEdmund H. Durfee. aim, 20(4):55-61, 1999.

An Adaptive Agent Bidding Strategy Based on Stochastic ModelingSunju Park, Edmund H. Durfee, William P. Birmingham. agents 1999: 147-153 [doi]

1998

Mixing and Memory: Emergent Cooperation in an Information MarketplaceAaron A. Armstrong, Edmund H. Durfee. icmas 1998: 34-41 [doi]

Scheduling High-Level Tasks among Cooperative AgentsBradley J. Clement, Edmund H. Durfee. icmas 1998: 96-103

The Dynamics of the UMDL Service Market SocietyEdmund H. Durfee, Tracy Mullen, Sunju Park, José M. Vidal, Peter Weinstein. cia 1998: 55-78 [doi]

Integrated Premission Planning and Execution for Unmanned Ground VehiclesEdmund H. Durfee, Patrick G. Kenny, Karl C. Kluge. arobots, 5(1):97-110, 1998.

Artificial Intelligence in Digital Libraries: Moving from Chaos to (more) Order - EditorialInnes A. Ferguson, Edmund H. Durfee. jodl, 2(1):1-2, 1998. [doi]

Emergent Properties of a Market-based Digital Library with Strategic AgentsSunju Park, Edmund H. Durfee, William P. Birmingham. icmas 1998: 230-237

The Moving Target Function Problem in Multi-Agent LearningJosé M. Vidal, Edmund H. Durfee. icmas 1998: 317-324

The University of Michigan Digital Library Service Market SocietyJosé M. Vidal, Tracy Mullen, Peter Weinstein, Edmund H. Durfee. agents 1998: 475-476 [doi]

Learning nested agent models in an information economyJosé M. Vidal, Edmund H. Durfee. jetai, 10(3):291-308, 1998.

The Distributed Constraint Satisfaction Problem: Formalization and AlgorithmsMakoto Yokoo, Edmund H. Durfee, Toru Ishida, Kazuhiro Kuwabara. tkde, 10(5):673-685, 1998. [doi]

1997

Avoiding Failure via Pre-Planned Responses and Time-Bounded PlanningElla M. Atkins, Edmund H. Durfee, Kang G. Shin. AAAI 1997: 821

Detecting and Reacting to Unplanned-for World StatesElla M. Atkins, Edmund H. Durfee, Kang G. Shin. AAAI 1997: 571-576

The Effects of Runtime Coordination Strategies Within Static OrganizationsEdmund H. Durfee, Young-pa So. IJCAI 1997: 612-619

TAIPE: Tactical Assistants for Interaction Planning and ExecutionEdmund H. Durfee, Marcus J. Huber, Michael Kurnow, Jaeho Lee. agents 1997: 443-450

On Explicit Plan Languages for Coordinating Multiagent Plan ExecutionJaeho Lee, Edmund H. Durfee. atal 1998: 113-126

Development of Iterative Real-time Scheduler to Planner FeedbackCharles B. McVey, Ella M. Atkins, Edmund H. Durfee, Kang G. Shin. IJCAI 1997: 1267-1275

Analyzing Agents that Learn about AgentsJosé M. Vidal, Edmund H. Durfee. AAAI 1997: 849

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