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        <identifier>oai:drops-oai.dagstuhl.de:24453</identifier>
        <datestamp>2026-01-21T10:06:27Z</datestamp>
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          <dc:title>PDDL to DFA: A Symbolic Transformation for Effective Reasoning</dc:title>
          <dc:creator>De Giacomo, Giuseppe</dc:creator>
          <dc:creator>Di Stasio, Antonio</dc:creator>
          <dc:creator>Parretti, Gianmarco</dc:creator>
          <dc:subject>Fully Observable Nondeterministic Planning</dc:subject>
          <dc:subject>Linear Temporal Logics on finite traces</dc:subject>
          <dc:subject>Reactive Synthesis</dc:subject>
          <dc:subject>DFA</dc:subject>
          <dc:description>ltl_f reactive synthesis under environment specifications, which concerns the automated generation of strategies enforcing logical specifications, has emerged as a powerful technique for developing autonomous AI systems. It shares many similarities with Fully Observable Nondeterministic (fond) planning. In particular, nondeterministic domains can be expressed as ltl_f environment specifications. However, this is not needed since nondeterministic domains can be transformed into deterministic finite-state automata (dfa) to be used directly in the synthesis process. In this paper, we present a practical symbolic technique for translating domains expressed in Planning Domain Definition Language (pddl) into dfas. The technique allows for the integration of the planning domain, reduced to dfa in a symbolic form, into current symbolic ltl_f synthesis tools. We implemented our technique in a new tool, pddl2dfa, and applied it to solve fond planning by using state-of-the-art reactive synthesis techniques in a tool called syft4fond. Our empirical results confirm the effectiveness of our approach.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Giuseppe De Giacomo and Antonio Di Stasio and Gianmarco Parretti</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 355, 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.TIME.2025.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-244532</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2025.7</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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