This page only has a small selection of papers, so please get in touch with the authors if you're looking for a different one.
  • Integrating Planning and Learning: The PRODIGY Architecture
    Manuela Veloso, Jaime Carbonell, Alicia Perez, Daniel Borrajo, Eugene Fink and Jim Blythe
    Journal of Theoretical and Experimental Artificial Intelligence, 7(1), 1995.
  • FLECS: Planning with a Flexible Commitment Strategy.
    Manuela Veloso and Peter Stone
    Journal of AI Research (JAIR), 3, 1995.
  • SCS Technical reports
  • Papers in EWSP 95, the European Workshop on Planning.
  • Papers in AIPS 94, the Second AI Planning Systems Conference
  • Papers in the AAAI Fall Symposium, "Planning and Learning: onto Real Applications

    • Papers in AIPS 96

    Planning While Learning Operators, Mei Wang

    Event-Based Decompositions for Reasoning about External Change in Planners, Jim Blythe

    papers in EWSP 95

    The footprint principle for heuristics for probabilistic planners, Jim Blythe

    Formalizing the Prodigy Planning Algorithm, Eugene Fink and Manuela Veloso
    An extended version is available as technical report CMU-CS-94-123.

    Selectively Delaying Linking Commitments in Partial-Order Planners, Rujith de Silva

    User-Guided Interleaving of Planning and Execution Peter Stone and Manuela Veloso

    papers in the Fall Symposium 94

    Planning and Learning: on to Real Applications

    Some of these aren't linked yet - contact the authors for copies.

  • Incremental Learning of Control Knowledge for Improvement of Planning Efficiency and Plan Quality, Daniel Borrajo and Manuela Veloso
  • Applying an General-Purpose Planning and Learning Architecture to Process Planning, Yolanda Gil and M. Alicia Perez
  • Route Planning and Learning from Experimentation, Karen Haigh, Jonathan Shewhcuk and Manuela Veloso
  • Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems, Peter Stone and Manuela Veloso
  • Learning by Observation and Practice: Towards Real Applications of Planning systems , Xuemei Wang and Jaime Carbonell

    • papers in AIPS94

    Held in Chicago in June 94.

    Control Knowledge to Improve Plan quality M. Alicia Perez and Jaime Carbonell

    The Need for Different Domain-Independent Heuristics, Peter Stone, Manuela Veloso and Jim Blythe.

    Linkability: Examining Causal Link Commitments in Partial-Order Planning, Manuela Veloso and Jim Blythe.

    Learning Planning Operators by Observation and Practice, Mei Wang.

    technical reports

    This list is certainly not exhaustive.. 

    

    CMU-CS-95-175 (Not available on-line)

     Learning Search Control Knowledge to Improve Plan Quality

    Maria Alicia Perez

    Ph.D. Thesis

    July 1995

    275 pages

    

    CMU-CS-95-120
     Systematic Approach to the Design of Representation-Changing Algorithms

    Eugene Fink

    February 1995

    36 pages

    

    
CMU-CS-94-123
    
Prodigy Planning Algorithm

    Eugene Fink, Manuela Veloso

    March 1994

    

    CMU-CS-93-142
     Automated Acquisition of Control Knowledge to Improve the Quality of Plans

     M. Alicia Perez, Jaime G. Carbonell

     April 1993

     33 pages


    CMU-CS-93-155
     Integrating Reactive and Deliberative Planning for Agents

     Jim Blythe, W. Scott Reilly

     May 1993

     25 pages

    


    CMU-CS-92-124 (compressed)
    CMU-CS-92-124
     DYNAMIC: A New Role for Training Problems in EBL

     M. Alicia Perez, Oren Etzioni

     March 1992

    


    CMU-CS-92-150
     Prodigy 4.0: The Manual and Tutorial

     Jaime G. Carbonell, Jim Blythe, Oren Etzioni, Yolanda Gil, 
Robert Joseph, Dan Kahn, Craig Knoblock, Steven Minton, Alicia Perez, 
Scott Reilly, Manuela Veloso, Xuemei Wang

     June 1992

    


    

    CMU-CS-92-174 (Unavailable via ftp)

     Learning by Analogical Reasoning in General Problem Solving

    Manuela M. Veloso

    Ph.D. Thesis

    August 1992


    

    CMU-CS-92-175 (Unavailable via ftp)

     Acquiring Domain Knowledge for Planning by Experimentation

    Yolanda Gil

    Ph.D. Thesis

    August 1992


    

    CMU-CS-91-120 (Unavailable via ftp)

     Automatically Generating Abstractions for Problem Solving

    Craig Alan Knoblock

    Ph.D. Thesis

    May 1991

    196 pages


    

    CMU-CS-91-139 (Unavailable via ftp)

     Multiagent planning in Prodigy

    M. Alicia Perez

    May 1991

    33 pages


    

    CMU-CS-91-179 (Unavailable via ftp)

     A Specification of Manufacturing Processes for Planning

    Yolanda Gil

    August 1991

    40 pages


    

    CMU-CS-90-135

     The Deliberative Integration of Planning, Execution, and Learning

    Daniel R. Kuokka

    Ph.D. Thesis

    May 1990


    

    CMU-CS-90-185

     A Structural Theory of Explanation-Based Learning

    Oren Etzioni

    Ph.D. Thesis

    December 1990


    

    CMU-CS-89-103

     Explanation-Based Learning: A Problem-Solving Perspective

    Steven Minton, Jaime Carbonell, Craig Knoblock, Daniel R. Kuokka,
 Oren Etzioni, Yolanda Gil

    January 1989


    

    CMU-CS-89-119

     Tractable Decision-Analytic Control: An Expanded Version

    Oren Etzioni

    February 1989


    

    CMU-CS-89-146

     Prodigy 2.0: The Manual and Tutorial

    Steven Minton, Craig A. Knoblock, Daniel R. Kuokka, Yolanda Gil,
 Robert L. Joseph, Jaime G. Carbonell

    May 1989


    

    CMU-CS-89-189

     PRODIGY: An Integrated Architecture for Planning and Learning

    Jaime G. Carbonell, Craig A. Knoblock, Steven Minton

    October 1989


    

    CMU-CS-89-210

     Nonlinear Problem Solving Using Intelligent Casual-Commitment

    Manuela M. Veloso

    December 1989