Abstract

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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