Prodigy Project -- Planning and Learning

(Back to Manuela Veloso's home page.)

I work on the Prodigy project pursuing my research interests on the integration of planning and learning.

RECENT NEWS IN THE PROJECT:
  • We have developed a very nice tcl/tk-based interface for Prodigy: the Prodigy-UI .
  • Send email to prodigy@cs.cmu.edu to request a copy of the Prodigy-UI.
  • The Prodigy-UI includes:
    the planner: Prodigy4.0,
    a large number of planning domains and problems,
    several learning modules in on-going releasing stage, including Prodigy/Analogy ,
    examples of other learning methods, including Quality [Alicia Perez],
    and examples of probabilistic planning, Weaver [Jim Blythe].

    Some Prodigy publications:
    (Follow the Prodigy home page for additional papers.)

  • Integrating planning and learning: The Prodigy architecture
    Manuela M. Veloso, Jaime Carbonell, M. Alicia P\'erez, Daniel Borrajo, Eugene Fink, and Jim Blythe.
    Journal of Experimental and Theoretical Artificial Intelligence , 7(1):81--120, 1995.

  • Prodigy/Analogy

  • Lazy Incremental Learning of Control Knowledge for Efficiently Obtaining Quality Plans
    Daniel Borrajo and Manuela Veloso
    Artificial Intelligence Review, in press.

  • User-guided interleaving of planning and execution,
    Peter Stone and Manuela M. Veloso. In New Directions in AI Planning, pages 103-112. IOS Press, 1996.

  • Prodigy4.0: The Manual and Tutorial
    The Prodigy Research Group, Carbonell et al.
    Technical Report CMU-CS-92-150.
  • See also my other research interests for other relevant papers:
  • Planning Algorithms
  • Planning and Learning by Analogical/Case-Based Reasoning