Uni-Logo

Florian Geißer – Publikationen

(Alle Abstracts einblenden) (Alle Abstracts ausblenden)

2020

  • David Speck, Florian Geißer und 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), S. 263-271. 2020.
    (Abstract einblenden) (PDF)

  • Florian Geißer, David Speck und 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), S. 38-47. 2020.
    (Abstract einblenden) (PDF)

2019

  • Sumitra Corraya, Florian Geißer, David Speck und 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), S. 123-130. 2019.
    (Abstract einblenden) (PDF) (PDF; Online)

  • Florian Geißer, David Speck und 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), S. 27-35. 2019.
    (Abstract einblenden) (PDF)

  • David Speck, Florian Geißer, Robert Mattmüller und Álvaro Torralba.
    Symbolic Planning with Axioms.
    In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), S. 464-572. 2019.
    (Abstract einblenden) (PDF)

2018

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

  • David Speck, Florian Geißer und 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.
    (Abstract einblenden) (PDF) (technical report with proofs; PDF)

  • Florian Geißer und David Speck.
    PROST-DD - Utilizing Symbolic Classical Planning in THTS.
    In The 6th International Probabilistic Planning Competition (IPPC 2018), S. 13-16. 2018.
    (Abstract einblenden) (PDF)

  • David Speck, Florian Geißer und Robert Mattmüller.
    SYMPLE: Symbolic Planning based on EVMDDs.
    In The 9th International Planning Competition (IPC 2018), S. 82-85. 2018.
    (Abstract einblenden) (PDF)

  • Robert Mattmüller, Florian Geißer, Benedict Wright und 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.
    (Abstract einblenden) (PDF)

2017

  • Robert Mattmüller, Florian Geißer, Benedict Wright und 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.
    (Abstract einblenden) (PDF)

2016

  • Dali Sun, Florian Geißer und Bernhard Nebel.
    Towards Effective Localization in Dynamic Environments.
    In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). 2016.
    (Abstract einblenden) (PDF)

  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer und 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.
    (Abstract einblenden) (PDF)

  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer und Robert Mattmüller.
    State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning:Full Proofs.
    Technischer Bericht CS-2016-002, University of Basel, 2016.
    (Abstract einblenden) (PDF)

  • Thomas Keller, Florian Pommerening, Jendrik Seipp, Florian Geißer und 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.
    (Abstract einblenden) (PDF)

  • Florian Geißer, Thomas Keller und 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.
    (Abstract einblenden) (PDF)

2015

  • Florian Geißer, Thomas Keller und 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.
    (Abstract einblenden) (PDF) (BIB)

  • Florian Geißer, Thomas Keller und 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.
    (Abstract einblenden) (PDF) (BIB)

  • Thomas Keller und 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.
    (Abstract einblenden) (PDF)

2014

  • Florian Geißer, Thomas Keller und 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), S. 357-362. 2014.
    (Abstract einblenden) (PDF) (BIB)