2009 (1) |
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Automatic Construction of Simple Artifact-based Workflows. Fritz, C.; Hull, R.; and Su, J. 2009.
In Proceedings of the 12th International Conference on Database Theory (ICDT), Saint-Petersburg, Russia, March 23--26. To appear.
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2008 (4) |
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Beyond Classical Planning: Procedural Control Knowledge and Preferences in State-of-the-Art Planners. Baier, J. A.; Fritz, C.; Bienvenu, M.; and McIlraith, S. 2008.
In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI), Nectar Track, 1509--1512, Chicago, Illinois, USA, July 13--17.
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Finding State Similarities for Faster Planning. Fritz, C. 2008.
In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI), 925--930, Chicago, Illinois, USA, July 13--17.
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ConGolog, Sin Trans: Compiling ConGolog into Basic Action Theories for Planning and Beyond. Fritz, C.; Baier, J. A.; and McIlraith, S. A. 2008.
In Proceedings on the 11th International Conference on Principles of Knowledge Representation and Reasoning, 600--610, Sydney, Australia, September 16--19.
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Planning in the Face of Frequent Exogenous Events. Fritz, C., and McIlraith, S. A. 2008.
In Online Poster Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS), Sydney, Australia, September 14--18. Also appeared in Proceedings of The 1st International Symposium on Search Techniques in Artificial Intelligence and Robotics (at AAAI08), July 13--14, Chicago, IL, USA.
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2007 (5) |
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Monitoring Plan Optimality during Execution: Theory and Implementation. Fritz, C., and McIlraith, S. 2007.
In Proceedings of the 18th International Workshop on Principles of Diagnosis (DX), 298--305, Nashville, TN, USA, May 29--31.
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Exploiting Procedural Domain Control Knowledge in State-of-the-Art Planners. Baier, J. A.; Fritz, C.; and McIlraith, S. A. 2007.
In Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS), 26--33, Providence, Rhode Island, USA, September 22--26.
Abstract:Domain control knowledge (DCK) has proven effective in improving the efficiency of plan generation by reducing the search space for a plan. Procedural DCK is a compelling type of DCK that supports a natural specification of the skeleton of a plan. Unfortunately, most state-of-the-art planners do not have the machinery necessary to exploit procedural DCK. To resolve this deficiency, we propose to compile procedural DCK directly into PDDL2.1, thus enabling any PDDL2.1-compatible planner to exploit it. The contribution of this paper is threefold. First, we propose a PDDL-based semantics for an Algol-like, procedural language that can be used to specify DCK in planning. Second, we provide a polynomial algorithm that translates an ADL planning instance and a DCK program, into an equivalent, program-free PDDL2.1 instance whose plans are only those that adhere to the program. Third, we argue that the resulting planning instance is well-suited to being solved by domain-independent heuristic planners. To this end, we propose three approaches to computing domain-independent heuristics for our translated instances, sometimes leveraging properties of our translation to guide search. In our experiments on familiar PDDL planning benchmarks we show that the proposed compilation of procedural DCK can significantly speed up the performance of a heuristic search planner. Our translators are implemented and available on the web.
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Monitoring the Execution of Optimal Plans. Fritz, C. 2007.
In The 17th International Conference on Automated Planning and Scheduling (ICAPS) Doctoral Consortium, Providence, Rhode Island, USA, September 22. Best Paper
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Monitoring Policy Execution. Fritz, C., and McIlraith, S. A. 2007.
In Proceedings of the 3rd Workshop on Planning and Plan Execution for Real-World Systems (at ICAPS07), Providence, Rhode Island, USA, September 22.
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Monitoring Plan Optimality During Execution. Fritz, C., and McIlraith, S. A. 2007.
In Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS), 144--151, Providence, Rhode Island, USA, September 22 - 26.
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2006 (2) |
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Decision-Theoretic Golog with Qualitative Preferences. Fritz, C., and McIlraith, S. 2006.
In Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning (KR), 153-163, Lake District, UK, June 2--5.
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Planning with Qualitative Temporal Preferences. Bienvenu, M.; Fritz, C.; and McIlraith, S. A. 2006.
In Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning (KR), 134-144, Lake District, UK, June 2--5.
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2005 (3) |
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Compiling Qualitative Preferences into Decision-Theoretic Golog Programs. Fritz, C., and McIlraith, S. 2005.
In Proceedings of The 6th Workshop on Nonmonotonic Reasoning, Action, and Change (at IJCAI05), Edinburgh, UK, August 1.
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Using Golog for Deliberation and Team Coordination in Robotic Soccer. Ferrein, A.; Fritz, C.; and Lakemeyer, G. 2005.
KI, 19(1):24-31.
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Compiling Qualitative Preferences into Decision-Theoretic Golog Programs: Extended Version with Proofs. Fritz, C., and McIlraith, S. 2005.
University of Toronto, Technical Report CSRG-522, May.
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2004 (3) |
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On-line Decision-Theoretic Golog for Unpredictable Domains. Ferrein, A.; Fritz, C.; and Lakemeyer, G. 2004.
In Proceedings of The 4th International Cognitive Robotics Workshop (at ECAI04), Valencia, Spain, August 23--24.
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AllemaniACs 2004 Team Description. Ferrein, A.; Fritz, C.; and Lakemeyer, G. 2004.
In RoboCup, Lisbon, Portugal.
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On-line Decision-Theoretic Golog for Unpredictable Domains. Ferrein, A.; Fritz, C.; and Lakemeyer, G. 2004.
In Proceedings of 27th German Conference on AI (KI), 322--336, Ulm, Germany, September 20--24.
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2003 (2) |
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Extending DTGolog with Options. Ferrein, A.; Fritz, C.; and Lakemeyer, G. 2003.
In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI), 1394--1395, Acapulco, Mexico, August 9--15.
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Integrating decision-theoretic planning and programming for robot control in highly dynamic domains. Fritz, C. 2003.
Master's Thesis, RWTH Aachen University, Germany, November.
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