Browse by Basel Contributors ID

Group by: Date | Item Type | Refereed | No Grouping

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016

2023

Büchner, Clemens and Christen, Remo and Eriksson, Salomé and Keller, Thomas. (2023) DALAI - Disjunctive Action Landmarks All In.

Büchner, Clemens and Keller, Thomas and Eriksson, Salomé and Helmert, Malte. (2023) Landmark Progression in Heuristic Search. In: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023), 33. pp. 70-79.

2022

Klößner, Thorsten and Pommerening, Florian and Keller, Thomas and Röger, Gabriele. (2022) Cost Partitioning Heuristics for Stochastic Shortest Path Problems. In: Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022). pp. 193-202.

Ferber, Patrick and Cohen, Liat and Seipp, Jendrik and Keller, Thomas. (2022) Learning and Exploiting Progress States in Greedy Best-First Search. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. pp. 4740-4746.

2021

Seipp, Jendrik and Keller, Thomas and Helmert, Malte. (2021) Saturated Post-hoc Optimization for Classical Planning. In: AAAI-21 Proceedings: Thirty-Fifth AAAI Conference on Artificial Intelligence, 35. PALO ALTO, CA, pp. 11947-11953.

Pommerening, Florian and Keller, Thomas and Halasi, Valentina and Seipp, Jendrik and Sievers, Silvan and Helmert, Malte. (2021) Dantzig-Wolfe Decomposition for Cost Partitioning. In: Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 31. pp. 271-280.

Büchner, Clemens and Keller, Thomas and Helmert, Malte. (2021) Exploiting Cyclic Dependencies in Landmark Heuristics. In: Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 31. pp. 65-73.

2020

Geißer, Florian and Speck, David and Keller, Thomas. (2020) 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.

Sievers, Silvan and Pommerening, Florian and Keller, Thomas and Helmert, Malte. (2020) Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning. In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). pp. 4152-4160.

Seipp, Jendrik and Keller, Thomas and Helmert, Malte. (2020) Saturated Cost Partitioning for Optimal Classical Planning. Journal of Artificial Intelligence Research, 67. pp. 129-167.

2019

Coles, Amanda and Coles, Andrew and Martínez, Moisés and Savas, Emre and Keller, Thomas and Pommerening, Florian and Helmert, Malte. (2019) On-board Planning for Robotic Space Missions using Temporal PDDL. In: Proceedings of the 11th International Workshop on Planning and Scheduling for Space (IWPSS). pp. 1-9.

Geißer, Florian and Speck, David and Keller, Thomas. (2019) An Analysis of the Probabilistic Track of the IPC 2018. In: Proceedings of the 2019 Workshop on the International Planning Competition. pp. 27-35.

Cui, Hao and Keller, Thomas and Khardon, Roni. (2019) Stochastic Planning with Lifted Symbolic Trajectory Optimization. In: Proceedings of the 29th International Conference on Automated Planning and Scheduling. pp. 119-127.

2018

Ocón, Jorge and Buckley, Karl and Colmenero, Francisco and Bensalem, Saddek and Dragomir, Iulia and Karachalios, Spyros and Woods, Mark and Pommerening, Florian and Keller, Thomas. (2018) Using the ERGO Framework in a Planetary and an Orbital Scenario. In: Proceedings of the 14th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS 2018).

Heusner, Manuel and Keller, Thomas and Helmert, Malte. (2018) Best-Case and Worst-Case Behavior of Greedy Best-First Search. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence. pp. 1463-1470.

Heusner, Manuel and Keller, Thomas and Helmert, Malte. (2018) Search Progress and Potentially Expanded States in Greedy Best-First Search. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence. pp. 5269-5273.

Ocón, Jorge and Colmenero, Francisco and Estremera, Joaquin and Buckley, Karl and Alonso, Mercedes and Heredia, Enrique and Garcia, Javier and Coles, Andrew and Coles, Amanda and Martinez Munoz, Moises and Savas, Emre and Pommerening, Florian and Keller, Thomas and Karachalios, Spyros and Woods, Mark and Dragomir, Iulia and Bensalem, Saddek and Dissaux, Pierre and Schach, Arnaud. (2018) The ERGO Framework and its Use in Planetary/Orbital Scenarios. In: Proceedings of the 69th International Astronautical Congress (IAC 2018).

2017

Seipp, Jendrik and Keller, Thomas and Helmert, Malte. (2017) Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017). pp. 3651-3657.

Heusner, Manuel and Keller, Thomas and Helmert, Malte. (2017) Understanding the Search Behaviour of Greedy Best-First Search. In: Proceedings of the 10th Annual Symposium on Combinatorial Search (SoCS 2017). Palo Alto, California.

Paul, Gerald and Röger, Gabriele and Keller, Thomas and Helmert, Malte. (2017) Optimal Solutions to Large Logistics Planning Domain Problems. In: Proceedings of the 10th Annual Symposium on Combinatorial Search (SoCS 2017).

Seipp, Jendrik and Keller, Thomas and Helmert, Malte. (2017) A Comparison of Cost Partitioning Algorithms for Optimal Classical Planning. In: Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS 2017).

Ocón, Jorge and Delfa, Juan Manuel and Medina, Alberto and Lachat, Daisy and Marc, Robert and Woods, Mark and Wallace, Ian and Coles, Andrew and Coles, Amanda and Long, Derek and Keller, Thomas and Helmert, Malte and Bensalem, Saddek. (2017) ERGO: A Framework for the Development of Autonomous Robots. In: Proceedings of the 14th ESA Symposium on Advanced Space Technologies for Robotics and Automation (ASTRA 2017).

2016

Keller, Thomas and Pommerening, Florian and Seipp, Jendrik and Geißer, Florian and Mattmüller, Robert. (2016) State-dependent Cost Partitionings for Cartesian Abstractions in Classical Planning. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 4. Palo Alto, pp. 3161-3169.

Geißer, Florian and Keller, Thomas and Mattmüller , Robert. (2016) Abstractions for Planning with State-Dependent Action Costs. In: Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS 2016). pp. 140-148.

Skočaj, Danijel and Vrečko, Alen and Mahnič, Marko and Janíček, Miroslav and Kruijff, Geert-Jan and Hanheide, Marc and Hawes, Nick and Wyatt, Jeremy and Keller, Thomas and Zhou, Kai and Zillich, Michael and Kristan, Matej. (2016) An integrated system for interactive continuous learning of categorical knowledge. Journal of Experimental & Theoretical Artificial Intelligence, 28 (5). pp. 823-848.