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Abstract:
In this paper we propose refinements for optimal search with symbolic pattern databases in deterministic state-space planning. As main memory is limited, external heuristic search is combined with the power of symbolic representation. We start with an external version of symbolic breadth-first search. Then an alternative and external implementation for BDDA* to include different heuristic evaluation functions into the symbolic search process is presented.