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Abstract
  • In this paper we introduce to the architecture and the abilities of our
    design and analysis workbench for modern action planning. The toolkit provides
    automated domain analysis tools together with PDDL learning capabilities. New
    optimal and suboptimal planners extend state-of-the-art technology. With the
    tool, domain experts assist solving hard combinatorial problems. Approximate or
    incremental solutions provided by the system are supervised. Intermediate results
    are accessible to improve domain modeling and to tune exploration in generating
    high quality plans, which, in turn, can be bootstrapped for domain inference.
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