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Florian Geißer – Publications

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2020

  • David Speck, Florian Geißer and Robert Mattmüller.
    When Perfect is not Good Enough: On the Search Behaviour of Symbolic Heuristic Search.
    In Proceedings of the 30th International Conference on Automated Planning and Scheduling (ICAPS 2020), pp. 263-271. 2020.
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  • Florian Geißer, David Speck and Thomas Keller.
    Trial-based Heuristic Tree Search for MDPs with Factored Action Spaces.
    In Proceedings of the 13th Annual Symposium on Combinatorial Search (SoCS 2020), pp. 38-47. 2020.
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2019

  • Sumitra Corraya, Florian Geißer, David Speck and Robert Mattmüller.
    An Empirical Study of the Usefulness of State-Dependent Action Costs in Planning.
    In Proceedings of the 42nd German Conference on Artificial Intelligence (KI 2019), pp. 123-130. 2019.
    (Show abstract) (PDF) (PDF; Online)

  • Florian Geißer, David Speck and Thomas Keller.
    An Analysis of the Probabilistic Track of the IPC 2018.
    In Proceedings of the ICAPS-2019 Workshop on the International Planning Competition (WIPC 2019), pp. 27-35. 2019.
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  • David Speck, Florian Geißer, Robert Mattmüller and Álvaro Torralba.
    Symbolic Planning with Axioms.
    In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), pp. 464-572. 2019.
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2018

  • Florian Geißer.
    On planning with state-dependent action costs.
    FreiDok plus 2018.
    Dissertation Thesis.
    (PDF)

  • David Speck, Florian Geißer and Robert Mattmüller.
    Symbolic Planning with Edge-Valued Multi-Valued Decision Diagrams.
    In Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS 2018). 2018.
    (Show abstract) (PDF) (technical report with proofs; PDF)

  • Florian Geißer and David Speck.
    PROST-DD - Utilizing Symbolic Classical Planning in THTS.
    In The 6th International Probabilistic Planning Competition (IPPC 2018), pp. 13-16. 2018.
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  • David Speck, Florian Geißer and Robert Mattmüller.
    SYMPLE: Symbolic Planning based on EVMDDs.
    In The 9th International Planning Competition (IPC 2018), pp. 82-85. 2018.
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  • Robert Mattmüller, Florian Geißer, Benedict Wright and Bernhard Nebel.
    On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning.
    In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). 2018.
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2017

  • Robert Mattmüller, Florian Geißer, Benedict Wright and Bernhard Nebel.
    On the Relationship Between State-Dependent Action Costs and Conditional Effects in Planning.
    In Proceedings of the 9th Workshop on Heuristics and Search for Domain-Independent Planning (HSDIP 2017). 2017.
    Superseded by the AAAI 2018 paper by the same name.
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2016

  • Dali Sun, Florian Geißer and Bernhard Nebel.
    Towards Effective Localization in Dynamic Environments.
    In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). 2016.
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  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer and Robert Mattmüller.
    State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning (Extended Abstract).
    In Proceedings of the 39th German Conference on Artificial Intelligence (KI 2016). 2016.
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  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer and Robert Mattmüller.
    State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning:Full Proofs.
    Technical Report CS-2016-002, University of Basel, 2016.
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  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer and Robert Mattmüller.
    State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016). 2016.
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  • Florian Geißer, Thomas Keller and Robert Mattmüller.
    Abstractions for Planning with State-Dependent Action Costs.
    In Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS 2016). 2016.
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2015

  • Florian Geißer, Thomas Keller and Robert Mattmüller.
    Delete Relaxations for Planning with State-Dependent Action Costs.
    In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). 2015.
    (Show abstract) (PDF) (BIB)

  • Florian Geißer, Thomas Keller and Robert Mattmüller.
    Delete Relaxations for Planning with State-Dependent Action Costs.
    In Proceedings of the 8th Annual Symposium on Combinatorial Search (SoCS 2015). 2015.
    Extended abstract of the IJCAI 2015 paper by the same name.
    (Show abstract) (PDF) (BIB)

  • Thomas Keller and Florian Geißer.
    Better Be Lucky Than Good: Exceeding Expectations in MDP Evaluation.
    In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015). AAAI Press 2015.
    Erratum: On page 7, we mention that the results at IPPC would have differed by "-0.09", "+0.04" and "+0.05", which should read "-0.009", "+0.004" and "+0.005" instead.
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2014

  • Florian Geißer, Thomas Keller and Robert Mattmüller.
    Past, Present, and Future: An Optimal Online Algorithm for Single-Player GDL-II Games.
    In Proceedings of the 21st European Conference on Artificial Intelligence (ECAI 2014), pp. 357-362. 2014.
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