CORAL Research Publications

Generated using Patrick Riley's bib converter.

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Papers sorted by Date

• James Bruce and Manuela Veloso. Fast and Accurate Vision-Based Pattern Detection and Identification. In Proceedings of ICRA'03, the 2003 IEEE International Conference on Robotics and Automation, Taiwan, May 2003. under submission
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• Scott Lenser and Manuela Veloso. Automatic Detection and Response to Environmental Change. In Proceedings of ICRA'03, the 2003 IEEE International Conference on Robotics and Automation, Taiwan, May 2003. under submission
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• Maayan Roth, Douglas Vail, and Manuela Veloso. A World Model for Multi-Robot Teams with Communication. In Proceedings of ICRA'03, the 2003 IEEE International Conference on Robotics and Automation, Taiwan, May 2003. under submission
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• Douglas Vail and Manuela Veloso. Multi-Robot Dynamic Role Assignment and Coordination Through Shared Potential Fields. In Proceedings of ICRA'03, the 2003 IEEE International Conference on Robotics and Automation, Taiwan, May 2003. under submission
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• James Bruce, Michael Bowling, Brett Browning, and Manuela Veloso. Multi-Robot Team Response to a Multi-Robot Opponent Team. In Proceedings of ICRA'03, the 2003 IEEE International Conference on Robotics and Automation, Taiwan, May 2003. A previous version also submitted to IROS-2002 workshop on Collaborative Robots
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• Manuela Veloso. Robot Soccer: A Multi-Robot Challenge. In Multi-Robot Systems: From Swarms to Intelligent Automata, Kluwer, 2002.
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• James Bruce, Scott Lenser, and Manuela Veloso. Fast Parametric Transitions for Smooth Quadrupedal Motion. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001: The Fifth RoboCup Competitions and Conferences, Springer Verlag, Berlin, 2002.
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• Scott Lenser, James Bruce, and Manuela Veloso. A Modular Hierarchical Behavior-Based Architecture. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001: The Fifth RoboCup Competitions and Conferences, Springer Verlag, Berlin, 2002.
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• Patrick Riley and Manuela Veloso. Recognizing Probabilistic Opponent Movement Models. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001: The Fifth RoboCup Competitions and Conferences, Springer Verlag, Berlin, 2002.
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• Paul Carpenter, Patrick Riley, Gal Kaminka, Manuela Veloso, Ignacio Thayer, and Robert Wang. ChaMeleons-01 Team Description. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001: The Fifth RoboCup Competitions and Conferences, Springer Verlag, Berlin, 2002.
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• William Uther, Scott Lenser, James Bruce, Martin Hock, and Manuela Veloso. CM-Pack'01: Fast Legged Robot Walking, Robust Localization, and Team Behaviors. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001: The Fifth RoboCup Competitions and Conferences, Springer Verlag, Berlin, 2002.
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• Rune M. Jensen, Randy E. Bryant, and Manuela M. Veloso. An Efficient BDD-Based A* Algorithm . In Proceedings of AIPS'02 Workshop on Planning via Model Checking, Toulouse, April 2002.
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• Elly Winner and Manuela Veloso. Automatically Acquiring Planning Templates from Example Plans. In Proceedings of AIPS'02 Workshop on Exploring Real-World Planning, Toulouse, April 2002.
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• Brett Browning, Gal Kaminka, and Manuela Veloso. Principled Monitoring of Distributed Agents for Detection of Coordination Failure. In Proceedings of DARS-2002, the Seventh International Symposium on Distributed Autonomous Robotic Systems, Fukuoka, Japan, June 2002.
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• Brett Browning, Michael Bowling, and Manuela Veloso. Improbability Filtering for Rejecting False Positives. In Proceedings of 2002 IEEE International Conference on Robotics and Automation, Washington, DC, May 2002.
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• Patrick Riley and Manuela Veloso. Planning for Distributed Execution Through Use of Probabilistic Opponent Models. In Proceedings of the Sixth International Conference on Artificial Intelligence Planning Systems, Best Paper Award, Toulouse, France, April 2002.
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• Elly Winner and Manuela Veloso. Analyzing Plans with Conditional Effects. In Proceedings of the Sixth International Conference on Artificial Intelligence Planning Systems, Toulouse, France, April 2002.
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• Laurie Hiyakumoto and Manuela Veloso. Towards Planning and Execution for Information Retrieval. In Proceedings of AIPS'02 Workshop on Exploring Real-World Planning, Toulouse, April 2002.
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• P. Lima, T. Balch, M. Fujita, R. Rojas, M.Veloso, and H. Yanco. RoboCup 2001. IEEE Robotics and Automation Magazine, 9(2):20 – 30, June 2002.
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• William Uther and Manuela Veloso. TTree: Combining State and Temporal Abstraction in Semi-Markov Decision Problems. Unpublished 2002. unpublished
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• Michael Bowling and Manuela M. Veloso. Existence of multiagent equilibria with limited agents. Technical Report CMU-CS-02-104, Computer Science Department, Carnegie Mellon University, 2002.
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• William Uther and Manuela Veloso. TTree: Tree-Based State Generalization with Temporally Abstract Actions. In Proceedings of SARA-2002, Edmonton, Canada, August 2002.
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• Patrick Riley, Manuela Veloso, and Gal Kaminka. Any Team Coaching. In Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, July 2002.
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• Paul Carpenter, Patrick Riley, Manuela Veloso, and Gal Kaminka. Integration of Advice in an Action-Selection Architecture. In Proceedings of the RoboCup-2002 Symposium, Fukuoka, Japan, June 2002.
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• Gal Kaminka, Mehmet Fidanboylu, Allen Chang, and Manuela Veloso. Learning the Sequential Coordinated Behavior of Teams from Observations. In Proceedings of the RoboCup-2002 Symposium, Fukuoka, Japan, June 2002.
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• Patrick Riley, Manuela Veloso, and Gal Kaminka. An Empirical Study of Coaching. In Proceedings of DARS-2002, the Seventh International Symposium on Distributed Autonomous Robotic Systems, Fukuoka, Japan, June 2002.
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• James Bruce and Manuela Veloso. Real-Time Randomized Path Planning for Robot Navigation. In Proceedings of IROS-2002, Switzerland, October 2002. An earlier version of this paper appears in the Proceedings of the RoboCup-2002 Symposium
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• Rune M. Jensen, Randy E. Bryant, and Manuela M. Veloso. SetA*: An Efficient BDD-Based Heuristic Search Algorithm . In Proceedings of AAAI-2002, Edmonton, Canada, August 2002.
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• Michael Bowling and Manuela Veloso. Multiagent Learning Using a Variable Learning Rate. Artificial Intelligence, 136:215–250, 2002.
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• Bryan Singer and Manuela Veloso. Automating the Modeling and Optimization of the Performance of Signal Transforms. IEEE Transactions on Signal Processing, 2002. in press
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• Bryan Singer and Manuela Veloso. Learning to Construct Fast Signal Processing Implementations. Journal of Machine Learning Research, 2002. in press
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• G. A. Kaminka, M. M. Veloso, S. Schaffer, C. Sollitto, R. Adobbati, A. N. Marshal, A. Scholer, and S. Tejada. GameBots: The ever-challenging multi-agent research test-bed. Communications of the ACM, January 2002.
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• Michael Bowling, Rune Jensen, and Manuela Veloso. A Formalization of Equilibria for Multiagent Planning. In Proceedings of the AAAI-2002 Workshop on Multiagent Planning, Edmonton, Canada, August 2002.
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• Michael Bowling and Manuela Veloso. Scalable Learning in Stochastic Games. In Proceedings of the AAAI-2002 Workshop on Game Theoretic and Decision Theoretic Agents, Edmonton, Canada, August 2002.
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• Michael Bowling and Manuela Veloso. Rational Learning of Mixed Equilibria in Stochastic Games. In Proceedings of IJCAI-2001, pp. 1021–1026, August 2001.
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• Michael Bowling and Manuela Veloso. Convergence of Gradient Dynamics with a Variable Learning Rate. In Proceedings of ICML-2001, pp. 27–34, Williams College, MA, June 2001.
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• Bryan Singer and Manuela Veloso. Learning to Generate Fast Signal Processing Implementations. In Proceedings of ICML-2001, pp. 529–536, Williams College, MA, June 2001.
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• Scott Lenser, James Bruce, and Manuela Veloso. CM-Pack'00. In P. Stone, T. Balch, and G. Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, pp. 623–626, Springer Verlag, Berlin, 2001.
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• Tucker Balch, Zia Kahn, and Manuela Veloso. Observing Ants: Tracking and Analyzing the Behavior of Live Ant Colonies. In Proceedings of the Fifth International Conference on Autonomous Agents, May 2001.
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• Scott Lenser, James Bruce, and Manuela Veloso. CMPack: A Complete Software System for Autonomous Legged Soccer Robots. In Proceedings of the Fifth International Conference on Autonomous Agents, May 2001. Best Paper Award in the Software Prototypes Track, Honorary Mention
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• Patrick Riley and Manuela Veloso. Coaching a Simulated Soccer Team by Opponent Model Recognition. In Proceedings of the Fifth International Conference on Autonomous Agents, May 2001.
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• Markus Pueschel, Bryan Singer, Manuela Veloso, and Jos\'e M.F. Moura. Fast automatic generation of DSP algorithms. In Proceedings of the Special Session on Architecture-Specific Automatic Performance Tuning at the International Conference on Computational Science, pp. 97–106, April 2001.
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• Patrick Riley, Peter Stone, David McAllester, and Manuela Veloso. ATT-CMUnited-2000: Third place finisher in the RoboCup-2000 Simulator League. In P. Stone, T. Balch, and G. Kraetzschmar, editors, RoboCup-2000: Robot Soccer World Cup IV, pp. 489–492, Springer Verlag, Berlin, 2001.
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• Thomas Gabel and Manuela M. Veloso. Selecting Heterogeneous Team Players by Case-Based Reasoning: A Case Study in Robotic Soccer Simulation. Technical Report CMU-CS-01-165, Computer Science Department, Carnegie Mellon University, 2001.
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• Bryan Singer and Manuela M. Veloso. Stochastic search for signal processing algorithm optimization. In Proceedings of SC2001 - Scientific Computing, 2001, Denver, Colorado, November 2001.
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• Rune Jensen, Manuela Veloso, and Michael Bowling. Optimistic and Strong Cyclic Adversarial Planning. In Proceedings of ECP-2001, European Conference on Planning, Toledo, Spain, October 2001.
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• M. Veloso, E. Pagello, and H. Kitano, editors. RoboCup-99: Robot Soccer World Cup III, Springer-Verlag Press, Berlin, August 2000.
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• Patrick Riley and Manuela Veloso. Towards Behavior Classification: A case study in robotic soccer. In Proceedings of AAAI-2000, August 2000. student abstract
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• Peter Stone, Patrick Riley, and Manuela Veloso. Defining and using ideal teammate and opponent agent models. In Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence, August 2000.
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• William Uther and Manuela Veloso. The Lumberjack Algorithm for Learning Linked Decision Forests. In Proceedings of PRICAI-2000, August 2000. A longer version of this paper is in Proceedings of the Symposium on Abstraction, Reformulation and Approximation, SARA-2000, July 2000, Texas
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• Patrick Riley, Peter Stone, and Manuela Veloso. Layered Disclosure: Revealing Agents' Internals. In Proceedings of ATAL-2000, Boston, July 2000.
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• Manuela Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard Kraetzschmar, Peter Stone, Tucker Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, and Masahiro Fujita. Overview of RoboCup-99. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 1–34, Springer Verlag, Berlin, 2000.
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• Peter Stone, Patrick Riley, and Manuela Veloso. The CMUnited-99 Champion Simulator Team. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 35–44, Springer Verlag, Berlin, 2000.
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• Michael Bowling and Manuela Veloso. Motion Control in Dynamic Multi-Robot Environments. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 222–230, Springer Verlag, Berlin, 2000.
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• Peter Stone and Manuela Veloso. Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 495–508, Springer Verlag, Berlin, 2000.
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• Manuela Veloso, Michael Bowling, and Sorin Achim. CMUnited-99: Small-Size Robot Team. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 661–662, Springer Verlag, Berlin, 2000.
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• Manuela Veloso, Scott Lenser, Elly Winner, and James Bruce. CM-Trio-99. In M. Veloso, E. Pagello, and H. Kitano, editors, RoboCup-99: Robot Soccer World Cup III, pp. 766–769, Springer Verlag, Berlin, 2000.
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• Kwun Han and Manuela Veloso. Automated Robot Behavior Recognition Applied to Robotic Soccer. In John Hollerbach and Dan Koditschek, editors, Robotics Research: the Ninth International Symposium, pp. 199–204, Springer-Verlag, London, 2000. Also in the Proceedings of IJCAI-99 Workshop on Team Behaviors and Plan Recognition
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• Bryan Singer and Manuela Veloso. Learning to Predict Performance from Formula Modeling and Training Data. In Proceedings of the Seventeenth International Conference on Machine Learning, pp. 887–894, July 2000.
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• Astro Teller and Manuela Veloso. Efficient Learning through Evolution: Neural Programming and Internal Reinforcement. In Proceedings of the Seventeenth International Conference on Machine Learning, July 2000.
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• Manuela Veloso, Tucker Balch, and Scott Lenser. Integrating Information Agents, Planning, and Execution Monitoring. In Proceedings of the Fourth International Conference on Autonomous Agents, Barcelona, June 2000.
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• Peter Stone, Patrick Riley, and Manuela Veloso. Why is the agent doing what it's doing?. In Proceedings of the Fourth International Conference on Autonomous Agents, Barcelona, June 2000.
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• Peter Stone and Manuela Veloso. Layered Learning. In Proceedings of the European Conference on Machine Learning, ECML-2000, 2000. A shorter version appeared in the Proceedings of the IJCAI-99 Workshop on Learning About, From, and With Other Agents
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• James Bruce, Tucker Balch, and Manuela Veloso. Real-Time Color Image Segmentation Using Commodity Hardware. In Proceedings of WIRE-2000, May 2000.
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• Scott Lenser and Manuela Veloso. Sensor Resetting Localization for Poorly Modelled Mobile Robots. In Proceedings of ICRA-2000, the International Conference on Robotics and Automation, April 2000.
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• Rune Jensen and Manuela Veloso. OBDD-based Universal Planning for Multiple Synchronized Agents in Non-Deterministic Domains. In Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, pp. 167–176, Breckenridge, CO, April 2000.
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• Manuela Veloso, Elly Winner, Scott Lenser, James Bruce, and Tucker Balch. Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot. In Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, pp. 387–394, Breckenridge, CO, April 2000.
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• Rune Jensen and Manuela Veloso. OBDD-based Deterministic Planning using the UMOP Planning Framework. In Proceedings of the AIPS-2000 Worskhop on Model-Theoretic Approaches to Planning, pp. 26–31, Breckenridge, CO, April 2000.
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• Michael Bowling and Manuela M. Veloso. An Analysis of Stochastic Game Theory for MultiagentReinforcement Learning. Technical Report CMU-CS-00-165, Computer Science Department, Carnegie Mellon University, 2000.
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• Bryan Singer and Manuela M. Veloso. Automated Formula Generation and Performance Learning for the FFT. Technical Report CMU-CS-00-123, Computer Science Department, Carnegie Mellon University, 2000.
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• Minoru Asada, Manuela Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, and Gerhard Kraetzschmar. Overview of RoboCup-98. AI Magazine, 21(1):9–19, Spring 2000.
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• Peter Stone, Manuela Veloso, and Patrick Riley. CMUnited-98: RoboCup-98 Simulator World Champion Team. AI Magazine, 21(1):20–28, Spring 2000.
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• Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone. CMUnited-98: RoboCup-98 Small-Robot World Champion Team. AI Magazine, 21(1):29–36, Spring 2000.
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• Masahiro Fujita, Manuela Veloso, William Uther, Minoru Asada, Hiroaki Kitanon, Vincent Hugel, Patrick Bonnin, Jean-Christophe Bouramou\'e, and Pierre Blazevic. Vision, Strategy, and Localization using the Sony Legged Robots at RoboCup-98. AI Magazine, 21(1):47–56, Spring 2000.
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• Minoru Asada, Andreas Birk, Enrico Pagello, Masahiro Fujita, Itsuki Noda, Satoshi Tadokoro, Dominique Duhaut, Peter Stone, Manuela Veloso, Tucker Balch, Hiroaki Kitano, and B. Thomas. Progress in RoboCup Soccer Research in 2000. In Proceedings of the 2000 International Symposium on Experimental Robotics, October 2000.
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• James Bruce, Tucker Balch, and Manuela Veloso. Fast and Inexpensive Color Image Segmentation for Interactive Robots. In Proceedings of IROS-2000, Japan, October 2000.
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• Patrick Riley and Manuela Veloso. On Behavior Classification in Adversarial Environments. In Proceedings of DARS-2000, the Fifth International Symposium on Distributed Autonomous Robotic Systems, October 2000.
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• Elly Winner and Manuela Veloso. Multi-Fidelity Behaviors: Acting with Variable State Information. In Proceedings of AAAI-2000, August 2000.
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• Astro Teller and Manuela Veloso. Internal Reinforcement in a Connectionist Genetic Programming Approach. Artificial Intelligence, 120/2, July 2000.
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• Peter Stone and Manuela Veloso. Multiagent Systems: A survey from a machine learning perspective. Autonomous Robots, 8(3):345–383, Kluwer Academic Press, 2000.
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• Rune M. Jensen and Manuela M. Veloso. OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains. Journal of Artificial Intelligence Research, 13:189–226, July 2000.
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• Michael Wooldridge and Manuela Veloso, editors. Artificial Intelligence Today: Recent Trends and Developments, Springer, 1999.
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• Michael Bowling and Manuela Veloso. Motion Control in Dynamic Multi-Robot Environments. In Proceedings of The 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA'99), monterey, november 1999.
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• Michael Bowling and Manuela Veloso. Motion Control in CMUnited-98. In Proceedings of IJCAI-99 Workshop on RoboCup, pp. 52–56, 1999.
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• Peter Stone and Manuela Veloso. Team-Partitioned, Opaque-Transition Reinforcement Learning. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, pp. 261–272, Springer Verlag, Berlin, 1999. A shorter version appeared in the Proceedings of the Third International Conference on Autonomous Agents, pages 206--212, 1999
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• Rune M. Jensen and Manuela M. Veloso. OBDD-based Universal Planning: Specifying and Solving Planning Problems for Synchronized Agents in Non-Deterministic Domains. In M. Wooldrige and M. Veloso, editors, Artificial Intelligence Today: Recent Trends and Developments, pp. 212–248, Springer-Verlag, 1999.
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• Peter Stone and Manuela Veloso. Task decomposition and dynamic role assignment for real-time strategic teamwork. In J. P. Muller, M. P. Singh, and A. S. Rao, editors, Intelligent Agents V --- Proceedings of the Fifth International Workshop on Agent Theories, Architectures, and Languages (ATAL-98), Lecture Notes in Artificial Intelligence, pp. 293–308, Springer-Verlag, Heidelberg, 1999.
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• Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone. The CMUnited-98 Champion Small Robot Team. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, pp. 77–92, Springer Verlag, Berlin, 1999.
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• Manuela Veloso and William Uther. The CMTrio-98 Sony Legged Robot Team. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, pp. 491–497, Springer Verlag, Berlin, 1999.
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• Peter Stone, Manuela Veloso, and Patrick Riley. The CMUnited-98 Champion Simulator Team. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, pp. 61–76, Springer Verlag, Berlin, 1999.
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• Peter Stone and Manuela Veloso. Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Artificial Intelligence, 110(2):241–273, June 1999.
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• Minoru Asada, Hiroaki Kitano, Itsuki Noda, and Manuela Veloso. RoboCup: Today and tomorrow -- What we have have learned. Artificial Intelligence, 110:193–214, 1999.
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• Manuela Veloso, Peter Stone, and Kwun Han. The CMUnited-97 Robotic Soccer Team: Perception and Multiagent Control. Robotics and Autonomous Systems, 29 (2-3),:133–143, 1999.
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• Karen Zita Haigh and Manuela M. Veloso. Learning situation-dependent costs: Improving planningfrom probabilistic robot execution. Robotics and Autonomous Systems, 29 (2-3):145–174, 1999.
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• Paola Rizzo, Manuela Veloso, Maria Miceli, and Amedeo Cesta. Goal-Based Personalities and Social Behaviors in Believable Agents. Applied Artificial Intelligence, 13:239–272, 1999.
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• Bryan Singer and Manuela Veloso. Learning State Features from Policies to Bias Exploration in Reinforcement Learning. Technical Report CMU-CS-99-122, Computer Science Department, Carnegie Mellon University, 1999.
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• Manuela Veloso, Michael Bowling, Sorin Achim, Kwun Han, and Peter Stone. CMUnited-98: A Team of Robotic Soccer Agents. In Proceedings of IAAI-99, 1999.
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• Manuela Veloso, Peter Stone, and Michael Bowling. Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer. In Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, Boston, September 1999.
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• Bryan Singer and Manuela Veloso. Learning state features from policies to bias exploration in reinforcement learning. In Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 981, 1999.
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• Michael Bowling and Manuela Veloso. Bounding the Suboptimality of Reusing Subproblems. In Proceedings of IJCAI-99, 1999.
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• Peter Stone and Manuela Veloso. Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. In Proceedings of IJCAI-99 Workshop on RoboCup, pp. 211–216, 1999.
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• Manuela M. Veloso, Martha E. Pollack, and Michael T. Cox. Rationale-Based Monitoring for Continuous Planning in Dynamic Environments. In Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, pp. 171–179, Pittsburgh, PA, June 1998.
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• Karen Zita Haigh and Manuela M. Veloso. Planning, Execution and Learning in a Robotic Agent. In Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, pp. 120–127, Pittsburgh, PA, June 1998.
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• Peter Stone and Manuela Veloso. Team-Partitioned, Opaque-Transition Reinforcement Learning. In Proceedings of Second International Workshop on RoboCup, Paris, July 1998.
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• Manuela Veloso and Peter Stone. Individual and Collaborative Behaviors in a Team of Homogeneous Robotic Soccer Agents. In Proceedings of the Third International Conference on Multi-Agent Systems, pp. 309–316, Paris, July 1998.
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• Michael Bowling and Manuela Veloso. Bounding the Suboptimality of Reusing Subproblems. In Proceedings of the NIPS Workshop on Abstraction in Reinforcement Learning, December 1998.
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• Peter Stone and Manuela Veloso. Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. In Alexis Drogoul, Milind Tambe, and Toshio Fukuda, editors, Collective Robotics, pp. 85–97, Springer Verlag, Berlin, July 1998.
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• Peter Stone and Manuela Veloso. Using Decision Tree Confidence Factors for Multiagent Control. In Hiroaki Kitano, editors, RoboCup-97: The First Robot World Cup Soccer Games and Conferences, pp. 99–111, Springer Verlag, Berlin, 1998.
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• Peter Stone and Manuela Veloso. The CMUnited'97 Simulator Team. In Hiroaki Kitano, editors, RoboCup-97: The First Robot World Cup Soccer Games and Conferences, pp. 389–397, Springer Verlag, Berlin, 1998.
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• Peter Stone and Manuela Veloso. A Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server. Applied Artificial Intelligence, 12:165–188, 1998.
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• Peter Stone and Manuela Veloso. Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer. International Journal of Human-Computer Systems, 48, 1998.
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• Karen Zita Haigh and Manuela M. Veloso. Interleaving Planning and Robot Execution for Asynchronous User Requests. Autonomous Robots, 5(1):79–95, Kluwer Academic Press, March 1998.
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• Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim. CMUnited: A Team of Robotic Soccer Agents Collaborating in an Adversarial Environment. In Hiroaki Kitano, editors, RoboCup-97: The First Robot World Cup Soccer Games and Conferences, pp. 242–256, Springer Verlag, Berlin, 1998.
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• Kwun Han and Manuela Veloso. Reactive Visual Control of Multiple Non-Holonomic Robotic Agents. In Proceedings of the International Conference on Robotics and Automation, Belgium, May 1998.
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• Peter Stone and Manuela Veloso. Using Decision Tree Confidence Factors for Multiagent Control. In Proceedings of the Second International Conference on Autonomous Agents, Minneapolis, MN, May 1998.
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• Manuela Veloso, William Uther, and Masahiro Fujita. Walking Soccer-Playing Robots. Robot Science and Technology Magazine, November 1998.
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• Erica Melis and Manuela M. Veloso. Analogy in Problem Solving. In L.Farinas del Cerro, D. Gabbay, and H.J. Ohlbach, editors, Handbook of Practical Reasoning Computational and Theoretical Aspects, Oxford University Press, 1998. invited contribution, in press
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• Manuela Veloso, William Uther, Masahiro Fujita, Minoru Asada, and Hiroaki Kitano. Playing Soccer with Legged Robots. In Proceedings of IROS-98, Intelligent Robots and Systems Conference, Victoria, Canada, October 1998.
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• Rune M. Jensen and Manuela M. Veloso. Interleaving Deliberative and Reactive Planning in Dynamic Multi-Agent Domains. In Proceedings of the AAAI Fall Symposium on on Integrated Planning for Autonomous Agent Architectures, AAAI Press, October 1998.
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• Manuela Veloso, Peter Stone, and Kwun Han. CMUnited-97: RoboCup-97 Small-Robot World Champion Team. AI Magazine, 19(3):61–69, 1998.
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• Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim. CMUnited: A Team of Robotic Soccer Agents Collaborating in an Adversarial Environment. Crossroads, 4.3, February 1998.
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• Michael T. Cox and Manuela M. Veloso. Goal Transformations in Continuous Planning. In Proceedings of the AAAI Fall Symposium on Distributed Continual Planning, AAAI Press, October 1998.
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• Michael Bowling and Manuela Veloso. Reusing Learned Policies Between Similar Problems. In Proceedings of the AI*IA-98 Workshop on New Trends in Robotics, Padua, Italy, October 1998.
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• William T. B. Uther and Manuela M. Veloso. Tree Based Discretization for Continuous State Space Reinforcement Learning. In Proceedings of AAAI-98, Madison, WI, July 1998.
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• Katsu Ikeuchi and Manuela Veloso, editors. Symbolic Visual Learning, Oxford University Press, March 1997.
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• Peter Stone and Manuela Veloso. Using Decision Tree Confidence Factors for Multiagent Control. In AAAI-97 Workshop on Multiagent Learning, AAAI Press, Menlo Park,CA, July 1997. AAAI Technical Report
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• Manuela M. Veloso. Merge Strategies for Multiple Case Plan Replay. In Case-Based Reasoning Research and Development, Proceedings of ICCBR-97, the Second International Conference on Case-Based Reasoning, pp. 413–424, Springer Verlag, 1997.
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• Astro Teller and Manuela M. Veloso. \sc pado: A new learning architecture for object recognition. In K. Ikeuchi and M. Veloso, editors, Symbolic Vision and Learning, pp. 77–112, Oxford Press, 1997.
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• Michael T. Cox and Manuela M. Veloso. Supporting combined human and machine planning: An interface for planning by analogical reasoning. In Case-Based Reasoning Research and Development, Proceedings of ICCBR-97, the Second International Conference on Case-Based Reasoning, pp. 531–540, Springer Verlag, 1997.
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• Yury Smirnov and Manuela M. Veloso. GenSAT: A navigational approach. In Proceedings of EPIA-97, the Eighth Portuguese Conference on Artificial Intelligence, pp. 85–96, Springer Verlag, 1997.
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• Michael T. Cox and Manuela M. Veloso. Controlling for unexpected goals when planning in a mixed-initiative setting. In Proceedings of EPIA-97, the Eighth Portuguese Conference on Artificial Intelligence, pp. 309–318, Springer Verlag, 1997.
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• Karen Zita Haigh and Manuela M. Veloso. High-Level Planning and Low-Level Execution: Towards a Complete Robotic Agent. In Proceedings of the First International Conference on Autonomous Agents, Marina del Rey, CA, February 1997.
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• Manuela Veloso, Peter Stone, and Sorin Achim. A Layered Approach for an Autonomous Robotic Soccer System. In Proceedings of the First International Conference on Autonomous Agents, pp. 530–531, Marina del Rey, CA, February 1997.
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• Peter Stone and Manuela M. Veloso. Multiagent Systems: A survey from a machine learning perspective. Technical Report CMU-CS-97-193, Computer Science Department, Carnegie Mellon University, 1997.
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• Michael T. Cox and Manuela M. Veloso. Supporting combined human and machine planning\: The Prodigy 4\.0 User Interface Version 2\.0. Technical Report CMU-CS-97-174, Computer Science Department, Carnegie Mellon University, 1997.
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• Karen Z. Haigh and Manuela M. Veloso. Identifying and Using Learning Opportunities From Robot Execution. Computer Science Department, Carnegie Mellon University, 1997.
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• Karen Z. Haigh, Jonathan Shewchuk, and Manuela M. Veloso. Exploring geometry in analogical route planning. Journal of Experimental and Theoretical Artificial Intelligence, 9:509–541, 1997.
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• Astro Teller and Manuela M. Veloso. Learning Better Classification Teams. Computer Science Department, Carnegie Mellon University, 1997.
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• Kwun Han and Manuela Veloso. Physical Model Based Multi-objects Tracking and Prediction in RoboSoccer. In Working notes of the AAAI 1997 Fall Symposium on Model-directed Autonomous Systems, MIT, Boston, November 1997.
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• H. Kitano, M. Tambe, P. Stone, M. Veloso, S. Coradeschi, E. Osawa, H. Matsubara, I. Noda, and M. Asada. The RoboCup Synthetic Agent Challenge 97. In Proceedings of IJCAI-97, Nagoya, Japan, August 1997.
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• Manuela Veloso, Alice Mulvehill, and Michael Cox. Rationale-Supported Mixed-Initiative Case-Based Planning. In Proceedings of IAAI-97, Innovative Applications of Artificial Intelligence, pp. 1072–1077, Providence, Rhode Island, July 1997.
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• Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim. CMUnited: A team of robotic soccer agents collaborating in an adversarial environment. In Proceedings of the The First International Workshop on RoboCup, IJCAI-97, Nagoya, Japan, August 1997.
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• Jim Blythe and Manuela M. Veloso. Analogical Replay for Efficient Conditional Planning. In Proceedings of AAAI-97, pp. 668–673, Providence, Rhode Island, July 1997.
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• Karen Zita Haigh and Manuela M. Veloso. Using Perception Information for Robot Planning and Execution. In Proceedings of the AAAI-96 Workshop on Intelligent Adaptive Agents, August 1996.
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• Yury Smirnov and Manuela M. Veloso. Efficiency Competition through Representation Changes: Pigeonhole Principle versus Linear Programming Relaxation. In Proceedings of KR'96, the Fifth International Conference on Principles of Knowledge Representation and Reasoning, November 1996.
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• Manuela M. Veloso. Flexible Strategy Learning: Analogical Replay of Problem Solving Episodes. In David B. Leake, editors, Case-Based Reasoning: experiences, lessons, and future directions, pp. 137–150, AAAI Press/The MIT Press, May 1996. Book printing of the paper presented at AAAI-94, the Twelfth National Conference on Artificial Intelligence, AAAI Press, 1994
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• Manuela M. Veloso. Towards Mixed-Initiative Rationale-Supported Planning. In A. Tate, editors, Advanced Planning Technology, pp. 277–282, AAAI Press, May 1996.
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• Peter Stone and Manuela M. Veloso. User-guided Interleaving of Planning and Execution. In New Directions in AI Planning, pp. 103–112, IOS Press, 1996.
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• Eugene Fink and Manuela M. Veloso. Formalizing the PRODIGY Planning Algorithm. In New Directions in AI Planning, pp. 261–272, IOS Press, 1996. An earlier extended version is available as technical report CMU-CS-94-123, 1994
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• Luiz E. Souza and Manuela M. Veloso. Flexible Planning Knowledge Acquisition for Industrial Processes. In Proceedings of the First International Conference on Industrial Engineering Applications and Practice, Houston, TX, December 1996.
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• Astro Teller and Manuela M. Veloso. Neural Programming and Internal Reinforcement. In Proceedings of the First International Conference on Simulated Evolution and Learning, Taejon, South Korea, November 1996.
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• Daniel Borrajo and Manuela Veloso. Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans. AI Review Journal. Special Issue on Lazy Learning, 10:1–34, 1996.
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• Peter Stone and Manuela M. Veloso. Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer. In Proceedings of the AAAI Spring Symposium on Adaptation, Co-evolution, and Learning in Multi-agent Systems, AAAI Press, March 1996.
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• Yury Smirnov, Sven Koenig, and Manuela M. Veloso. Heuristic-Driven ``Treasure Hunt'' with Linear Performance Guarantees. Congress Numerantium Journal, 117:193–205, 1996.
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• Sorin Achim, Peter Stone, and Manuela M. Veloso. Building a Dedicated Robotic Soccer System. In Working Notes of the IROS-96 Workshop on RoboCup, Osaka, Japan, November 1996.
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• Mike Bowling, Peter Stone, and Manuela M. Veloso. Predictive Memory for an Inaccessible Environment. In Working Notes of the IROS-96 Workshop on RoboCup, Osaka, Japan, November 1996.
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• Peter Stone, Manuela M. Veloso, and Sorin Achim. Collaboration and Learning in Robotic Soccer. In Working Notes of MIROSOT-96, Taejon, Korea, November 1996.
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• Jim Blythe and Manuela M. Veloso. Learning to Improve Uncertainty Handling in a Hybrid Planning System. In Preprints of the AAAI 1996 Fall Symposium on Learning Complex Behaviors In Adaptive Intelligent Systems, Boston, MA, November 1996.
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• Luiz E. Souza and Manuela M. Veloso. AI Planning for a Supervisory Control System. In Proceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics, China, October 1996.
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• Yury Smirnov, Sven Koenig, Manuela M. Veloso, and Reid Simmons. Efficient Goal-Directed Exploration. In Proceedings of AAAI-96, the Thirteenth National Conference on Artificial Intelligence, pp. 292–297, August 1996.
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• Karen Zita Haigh and Manuela M. Veloso. Interleaving Planning and Robot Execution for Asynchronous User Requests. In Proceedings of Intelligent Robots and Systems Conference (IROS-96), Osaka, Japan, November 1996.
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• Peter Stone and Manuela M. Veloso. Broad Learning from Narrow Training: A Case Study in Robotic Soccer. Technical Report CMU-CS-95-207, Computer Science Department, Carnegie Mellon University, 1996.
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• Manuela M. Veloso, H\'ector Munoz-Avila, and Ralph Bergmann. General-Purpose Case-Based Planning: Methods and systems. AI Communications, 9(3):128–137, IOS Press, 1996. Also in Kunstliche Intelligenz, 1:22-28, 1996, in German (with reversed order of the authors)
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• Astro Teller and Manuela M. Veloso. Toward Program Induction: In Search of Explicit Refinement. Unpublished 1996. unpublished
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• Luiz E. Souza and Manuela M. Veloso. Acquisition of Flexible Planning Knowledge from Means-ends Models for Industrial Processes. Unpublished 1996. unpublished
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• Karen Zita Haigh and Manuela M. Veloso. Route Planning by Analogy. In Case-Based Reasoning Research and Development, Proceedings of ICCBR-95, pp. 169–180, Springer-Verlag, October 1995.
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• Astro Teller and Manuela M. Veloso. Language Representation Progression in PADO. In AAAI Fall Symposium Series, pp. 106–113, AAAI Press, 1995.
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• Astro Teller and Manuela M. Veloso. A Controlled Experiment: Evolution for Learning Difficult Image Classification. In Proceedings of the Seventh Portuguese Conference on Artificial Intelligence, pp. 165–176, Springer Verlag, October 1995.
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• Manuela M. Veloso and Peter Stone. FLECS: Planning with a Flexible Commitment Strategy. Journal of Artificial Intelligence Research, 3:25–52, 1995.
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• Astro Teller and Manuela M. Veloso. Program Evolution for Data Mining. International Journal of Expert Systems, 8(3):213–236, JAI Press, 1995.
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• Manuela Veloso and Agnar Aamodt, editors. Case-Based Reasoning Research and Development, Springer Verlag, October 1995.
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• Manuela M. Veloso, Jaime Carbonell, M. Alicia P\'erez, Daniel Borrajo, Eugene Fink, and Jim Blythe. Integrating Planning and Learning: The PRODIGY Architecture. Journal of Experimental and Theoretical Artificial Intelligence, 7(1):81–120, 1995.
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• Peter Stone and Manuela M. Veloso. Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. Technical Report CMU-CS-95-222, Computer Science Department, Carnegie Mellon University, 1995.
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• Astro Teller and Manuela M. Veloso. PADO: Learning Tree Structured Algorithms for Orchestration into an Object Recognition System. Technical Report CMU-CS-95-101, Department of Computer Science, Carnegie Mellon Unversity, 1995.
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• Peter Stone and Manuela M. Veloso. Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. In NIPS-95, Advances in Neural Information Processing Systems 8, MIT press, Cambridge, MA, 1995.
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• Yury V. Smirnov, Sven Koenig, and Manuela M. Veloso. Efficient Exploration of Unknown Environments. In American Mathematical Society Meetings, pp. 799, abstract, Kent State University, November 1995.
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• Astro Teller and Manuela M. Veloso. Algorithm Evolution for Face Recognition: What Makes a Picture Difficult. In Proceedings of the International Conference on Evolutionary Computation, IEEE Press, 1995.
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• Manuela M. Veloso and Daniel Borrajo. Learning Strategy Knowledge Incrementally. In Proceedings of the 6th International Conference on Tools with Artificial Intelligence, pp. 484–490, New Orleans, LA, November 1994.
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• Peter Stone and Manuela M. Veloso. Learning to Solve Complex Planning Problems Finding Useful Auxiliary Problems. In Technical Report of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applications, pp. 137–141, New Orleans, LA, November 1994.
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• Daniel Borrajo and Manuela M. Veloso. Incremental Learning of Control Knowledge for Nonlinear Problem Solving. In Proceedings of the European Conference on Machine Learning, ECML-94, pp. 64–82, Springer Verlag, April 1994.
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• Manuela M. Veloso and Jaime G. Carbonell. Case-Based Reasoning in \sc prodigy. In R. S. Michalski and G. Teccuci, editors, Machine Learning: A Multistrategy Approach, Volume IV, pp. 523–548, Morgan Kaufmann, 1994.
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• Manuela M. Veloso. Prodigy/Analogy: Analogical Reasoning in General Problem Solving. In S. Wess, K.-D. Althoff, and M. Richter, editors, Topics in Case-Based Reasoning, pp. 33–50, Springer Verlag, 1994.
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• Manuela M. Veloso. Planning and Learning by Analogical Reasoning, Springer Verlag, December 1994.
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• Karen Z. Haigh, Jonathan R. Shewchuk, and Manuela M. Veloso. Route Planning and Learning from Execution. In Preprints of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applications, New Orleans, LA, November 1994.
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• Daniel Borrajo and Manuela M. Veloso. Incremental Learning of Control Knowledge for Improvement of Planning Efficiency and Plan Quality. In Preprints of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applications, New Orleans, LA, November 1994.
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• Manuela M. Veloso. Flexible Strategy Learning: Analogical Replay of Problem Solving Episodes. In Proceedings of AAAI-94, the Twelfth National Conference on Artificial Intelligence, pp. 595–600, AAAI Press, Seattle, WA, August 1994.
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• Erica Melis and Manuela M. Veloso. Analogy Makes Proofs Feasible. In Preprints of the AAAI Workshop on Case-based Reasoning, AAAI Press, Menlo Park, CA, August 1994.
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• Daniel Borrajo and Manuela M. Veloso. Multiple Target Concept Learning and Revision in Nonlinear Problem Solving. In Working notes of the ECML/MLNet Workshop on Theory Revision and Restructuring, Sicily, Italy, 1994.
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• Eugene Fink and Manuela M. Veloso. PRODIGY Planning Algorithm. Technical Report CMU-CS-94-123, School of Computer Science, Carnegie Mellon University, 1994.
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• Manuela M. Veloso and Jim Blythe. Linkability: Examining Causal Link Commitments in Partial-Order Planning. In Proceedings of the Second International Conference on AI Planning Systems, pp. 170–175, June 1994.
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• Peter Stone, Manuela M. Veloso, and Jim Blythe. The need for different domain-independent heuristics. In Proceedings of the Second International Conference on AI Planning Systems, pp. 164–169, June 1994.
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• Xuemei Wang and Manuela M. Veloso. Learning Planning Knowledge by Observation and Practice. In Proceedings of the ARPA Planning Workshop, pp. 285–294, Tucson, AZ, February 1994.
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• Robert B. Doorenbos and Manuela M. Veloso. Knowledge Organization and the Utility Problem. In Proceedings of the Third International Workshop on Knowledge Compilation and Speedup Learning, pp. 28–34, Amherst, MA, June 1993.
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• Daniel Borrajo and Manuela M. Veloso. Bounded Explanation and Inductive Refinement for Acquiring Control Knowledge. In Proceedings of the Third International Workshop on Knowledge Compilation and Speedup Learning, pp. 21–27, Amherst, MA, June 1993.
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• Karen Haigh and Manuela M. Veloso. Combining Search and Analogical Reasoning in Path Planning from Road Maps. In Preprints of the AAAI Workshop on Case-based Reasoning, pp. 79–85, AAAI Press, Menlo Park, CA, Washington, DC, July 1993.
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• Manuela M. Veloso. Planning for Complex Tasks: Replay and Merging of Multiple Simple Plans. In Preprints of the AAAI 1993 Spring Symposium Series, Workshop on Foundations of Automatic Planning: The Classical Approach and Beyond, pp. 146–150, Stanford University, CA, March 1993.
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• M. Alicia P\'erez and Manuela M. Veloso. Goal Interactions and Plan Quality. In Preprints of the AAAI 1993 Spring Symposium Series, Workshop on Foundations of Automatic Planning: The Classical Approach and Beyond, pp. 117–121, Stanford University, CA, March 1993.
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• Manuela M. Veloso and Jaime G. Carbonell. Derivational Analogy in \sc prodigy: Automating Case Acquisition, Storage, and Utilization. Machine Learning, 10:249–278, Kluwer Academic Publishers, Boston, MA, 1993.
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• Manuela M. Veloso and Jaime G. Carbonell. Towards Scaling Up Machine Learning: A Case Study with Derivational Analogy in \sc prodigy. In S. Minton, editors, Machine Learning Methods for Planning, pp. 233–272, Morgan Kaufmann, 1993.
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• Jaime G. Carbonell, Jim Blythe, Oren Etzioni, Yolanda Gil, Robert Joseph, Dan Kahn, Craig Knoblock, Steven Minton, Alicia P\'erez, Scott Reilly, Manuela M. Veloso, and Xuemei Wang. PRODIGY4.0: The Manual and Tutorial. Technical Report CMU-CS-92-150, Department of Computer Science, Carnegie Mellon University, 1992.
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• Jim Blythe and Manuela M. Veloso. An Analysis of Search Techniques for a Totally-Ordered Nonlinear Planner. In Proceedings of the First International Conference on AI Planning Systems, pp. 13–19, College Park, MD, June 1992.
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• Manuela M. Veloso. Learning by Analogical Reasoning in General Problem Solving. Ph.D. Thesis, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 1992. Available as technical report CMU-CS-92-174
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• Manuela M. Veloso. Automatic Storage, Retrieval, and Replay of Multiple Cases. In Preprints of the AAAI 1992 Spring Symposium Series, Workshop on Computational Considerations in Supporting Incremental Modification and Reuse, Stanford University, CA, March 1992.
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• Manuela M. Veloso and Jaime G. Carbonell. Variable-Precision Case Retrieval in Analogical Problem Solving. In Proceedings of the 1991 DARPA Workshop on Case-Based Reasoning, pp. 93–106, Morgan Kaufmann, Washington, DC, May 1991.
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• Manuela M. Veloso and Jaime G. Carbonell. Learning by Analogical Replay in \sc prodigy: First Results. In Proceedings of the European Working Session on Learning, pp. 375–390, Springer-Verlag, Porto, Portugal, March 1991.
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• Manuela M. Veloso. Efficient Nonlinear Planning using Casual Commitment and Analogical Reasoning. In Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society, pp. 938–943, Lawrence Erlbaum, University of Chicago, IL, August 1991.
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• Manuela M. Veloso, M. Alicia P\'erez, and Jaime G. Carbonell. Nonlinear Planning with Parallel Resource Allocation. In Proceedings of the DARPA Workshop on Innovative Approaches to Planning, Scheduling, and Control, pp. 207–212, Morgan Kaufmann, San Diego, CA, November 1990.
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• Manuela M. Veloso, Jaime G. Carbonell, and Craig A. Knoblock. Nonlinear Planning in Complex Domains using a Casual-Commitment Approach. In Preprints of the AAAI-90 Workshop on Planning in Complex Domains, MIT, MA, August 1990.
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• Manuela M. Veloso and Jaime G. Carbonell. Integrating analogy into a general problem-solving architecture. In Maria Zemankova and Zbigniew Ras, editors, Intelligent Systems, pp. 29–51, Ellis Horwood, Chichester, England, 1990.
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• Jaime G. Carbonell, Yolanda Gil, Robert Joseph, Craig A. Knoblock, Steven Minton, and Manuela M. Veloso. Designing an Integrated Architecture: The \sc prodigy View. In Proceedings of the Twelfth Annual Conference of the Cognitive Science Society, pp. 997–1004, MIT, MA, July 1990.
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• Manuela M. Veloso and Jaime G. Carbonell. Learning Analogies by Analogy - The Closed Loop of Memory Organization and Problem Solving. In Proceedings of the Second Workshop on Case-Based Reasoning, pp. 153–158, Morgan Kaufmann, Pensacola, FL, May 1989.
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• Manuela M. Veloso. Nonlinear problem solving using intelligent casual-commitment. Technical Report CMU-CS-89-210, School of Computer Science, Carnegie Mellon University, 1989.
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• Jaime G. Carbonell and Manuela M. Veloso. Integrating Derivational Analogy into a General Problem Solving Architecture. In Proceedings of the First Workshop on Case-Based Reasoning, pp. 104–124, Morgan Kaufmann, Tampa, FL, May 1988.
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• Jos\'e M. F. Moura and Manuela M. Veloso. A Management Information System for the Production Control of an Industrial Plant. T\'ecnica, November 1985. (in Portuguese)
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• Manuela M. Veloso. A Management Information System for the Production Control of an Industrial Plant: Logical Structure and Distributed Processing. Electrical and Computer Engineering Department, Instituto Superior T\'ecnico, Lisbon, 1984. (in Portuguese)
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• Wesley W. Chu and Manuela M. Veloso. Working Note: Data Structures Supporting Redundancy Check. Computer Science Department, University of California, Los Angeles, 1984. (unpublished)
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• Manuela M. Veloso and Jos\'e M. F. Moura. Conceptual Scheme and Data Structure for an Applicational Database. In Proceedings of the First National Workshop in Electrical and Computer Engineering, Portugal, 1983. (in Portuguese, bib2html_pubtype = {30 Refereed Conference}, bib2html_rescat = {33Dogs, 80RoboCup})
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• Ant\'onio Mano and Manuela M. Veloso. Parameter Estimation in Nonlinear Vector Functions: the ESPA Package. In Proceedings of the Vigo Workshop on Signal Processing, Spain, July 1981.
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