List of publications

  • Representing and Learning Quality-Improving Search Control Knowledge
    M. Alicia Pérez.
    In Lorenza Saitta, ed., Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kaufmann Publishers, San Francisco, CA. 1996.

  • Learning from a Domain Expert to Generate Good Plans
    M. Alicia Pérez.
    In Acquisition, Learning and Demonstration: Automating Tasks for Users. Papers from the 1996 AAAI Symposium. March 1996, Stanford, CA. Technical Report SS-96-02. AAAI Press. Menlo Park, CA.

  • Learning Search Control Knowledge to Improve Plan Quality.
    M. Alicia Pérez.
    PhD thesis, available as Technical Report CMU-CS-95-175, School of Computer Science, Carnegie Mellon University, July 1995.

  • Integrating Planning and Learning: The PRODIGY Architecture.
    Manuela Veloso, Jaime Carbonell, M. Alicia Pérez, Daniel Borrajo, Eugene Fink and Jim Blythe.
    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 7, number 1, January 1995.

  • Control Knowledge to Improve Plan quality.
    M. Alicia Pérez and Jaime Carbonell.
    In Proceedings of the Second International Conference on AI Planning Systems, AIPS-94, pages 323--328, Chicago, IL, June 1994. AAAI Press.

  • Applying a general-purpose planning and learning architecture to process planning.
    Yolanda Gil and M. Alicia Pérez.
    In Working Notes of the AAAI 1994 Fall Symposium Series, Symposium on Planning and Learning: On to Real Applications, pages 48--52, New Orleans, November 1994.

  • Automated acquisition of control knowledge to improve the quality of plans.
    M. Alicia Pérez and Jaime G. Carbonell.
    Technical Report CMU-CS-93-142, School of Computer Science, Carnegie Mellon University, April 1993.

  • The Goal is to Generate Better Plans.
    M. Alicia Pérez.
    In Working Notes of the AAAI 1994 Spring Symposium Series, Symposium on Goal-Driven Learning, pages 88--93, Stanford University, CA, March 1994.

  • Goal Interactions and Plan Quality.
    M. Alicia Pérez and Manuela M. Veloso,
    In Working Notes of the AAAI 1993 Spring Symposium Series, Symposium on Foundations of Automatic Planning: The Classical Approach and Beyond, pages 117-121, Stanford University, CA, March 1993.

  • DYNAMIC: A New Role for Training Problems in EBL.
    M. Alicia Pérez and Oren Etzioni,
    In Machine Learning: Proceedings of the Ninth International Conference (ML92), D. Sleeman and P. Edwards (eds.), 367-372. Morgan Kaufmann, San Mateo, CA. 1992.
    Extended version published as Technical Report CMU-CS-92-124 (compressed), School of Computer Science, Carnegie Mellon University, March 1992.

  • Multiagent Planning in Prodigy.
    M. Alicia Pérez
    Technical Report CMU-CS-91-139, School of Computer Science, Carnegie Mellon University, May 1991.

  • Nonlinear Planning with Parallel Resource Allocation.
    Manuela Veloso, M. Alicia Pérez and Jaime Carbonell
    In Proceedings of the Darpa Workshop on Innovative Approaches to Planning, Scheduling and Control, San Diego, CA. November 1990. Pages 207-212. Morgan Kaufmann.