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@INPROCEEDINGS{Bonet:996087,
      author       = {Bonet, Blai and Drexler, Dominik and Geffner, Hector},
      title        = {{O}n {P}olicy {R}euse: {A}n {E}xpressive {L}anguage for
                      {R}epresenting and {E}xecuting {G}eneral {P}olicies that
                      {C}all {O}ther {P}olicies},
      volume       = {34},
      address      = {Washington, DC},
      publisher    = {Association for the Advancement of Artificial Intelligence},
      reportid     = {RWTH-2024-10375},
      series       = {Proceedings of the International Conference on Automated
                      Planning and Scheduling},
      pages        = {31-39},
      year         = {2024},
      comment      = {Proceedings of the Thirty-Fourth International Conference
                      on Automated Planning and Scheduling ICAPS-24 : June 1–6,
                      2024, Alberta, Canada / Edited by Sara Bernardini, Christian
                      Muise},
      booktitle     = {Proceedings of the Thirty-Fourth
                       International Conference on Automated
                       Planning and Scheduling ICAPS-24 : June
                       1–6, 2024, Alberta, Canada / Edited
                       by Sara Bernardini, Christian Muise},
      month         = {Jun},
      date          = {2024-06-01},
      organization  = {34. International Conference on
                       Automated Planning and Scheduling,
                       Alberta (Canada), 1 Jun 2024 - 6 Jun
                       2024},
      cin          = {122010 / 120000},
      cid          = {$I:(DE-82)122010_20140620$ / $I:(DE-82)120000_20140620$},
      pnm          = {AvH 1228833 - ESP - AHP-KI - Alexander von
                      Humboldt-Professur für Künstliche Intelligenz (1228833 -
                      ESP - AHP-KI) / RLeap - From Data-based to Model-based AI:
                      Representation Learning for Planning (885107) / TAILOR -
                      Foundations of Trustworthy AI - Integrating Reasoning,
                      Learning and Optimization (952215)},
      pid          = {G:(AvH)1228833 - ESP - AHP-KI / G:(EU-Grant)885107 /
                      G:(EU-Grant)952215},
      typ          = {PUB:(DE-HGF)7 / PUB:(DE-HGF)8},
      doi          = {10.1609/icaps.v34i1.31458},
      url          = {https://publications.rwth-aachen.de/record/996087},
}