Items where contributor is "Helmert, Malte"
2023Kreft, Raphael and Büchner, Clemens and Sievers, Silvan and Helmert, Malte. (2023) Computing Domain Abstractions for Optimal Classical Planning with Counterexample-Guided Abstraction Refinement. In: Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023), 33. pp. 221-226. 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. 2022Helmert, Malte and Sievers, Silvan and Rovner, Alexander and Corrêa, Augusto B.. (2022) On the Complexity of Heuristic Synthesis for Satisficing Classical Planning: Potential Heuristics and Beyond. In: Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS 2022). pp. 124-133. Christen, Remo and Eriksson, Salomé and Pommerening, Florian and Helmert, Malte. (2022) Detecting Unsolvability Based on Separating Functions. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022). Palo Alto, California USA, pp. 44-52. Corrêa, Augusto B. and Pommerening, Florian and Helmert, Malte and Francès, Guillem. (2022) The FF Heuristic for Lifted Classical Planning. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence. Palo Alto, California USA, pp. 9716-9723. Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2022) Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (ICAPS 2022). pp. 583-587. Katz, Michael and Röger, Gabriele and Helmert, Malte. (2022) On Producing Shortest Cost-Optimal Plans. In: Proceedings of the Fifteenth International Symposium on Combinatorial Search (SoCS 2022). pp. 100-108. 2021Sievers, Silvan and Helmert, Malte. (2021) Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems. The journal of artificial intelligence research, 71. pp. 781-883. 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. Corrêa, Augusto B. and Francès, Guillem and Pommerening, Florian and Helmert, Malte. (2021) Delete-Relaxation Heuristics for Lifted Classical Planning. In: Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 31. pp. 94-102. Ferber, Patrick and Geißer, Florian and Trevizan, Felipe and Helmert, Malte and Hoffmann, Jörg. (2021) Neural Network Heuristic Functions for Classical Planning: Reinforcement Learning and Comparison to Other Methods. PRL Workshop – Bridging the Gap Between AI Planning and Reinforcement Learning. 2020Pommerening, Florian and Röger, Gabriele and Helmert, Malte and Cambazard, Hadrien and Rousseau, Louis-Martin and Salvagnin, Domenico. (2020) Lagrangian Decomposition for Classical Planning (Extended Abstract). In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020). pp. 4770-4774. Corrêa, Augusto B. and Pommerening, Florian and Helmert, Malte and Francès, Guillem. (2020) Lifted Successor Generation using Query Optimization Techniques. In: Proceedings of the 30th International Conference on Automated Planning and Scheduling (ICAPS 2020), 30. pp. 80-89. 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. Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space. In: 24th European Conference on Artificial Intelligence, 29 August–8 September 2020, 325. pp. 2346-2353. Eriksson, Salomé and Helmert, Malte. (2020) Certified Unsolvability for SAT Planning with Property Directed Reachability. In: Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling (ICAPS 2020), 30. pp. 90-100. 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. Seipp, Jendrik and von Allmen, Samuel and Helmert, Malte. (2020) Incremental Search for Counterexample-Guided Cartesian Abstraction Refinement. In: Proceedings of the 30th International Conference on Automated Planning and Scheduling (ICAPS 2020), 30. pp. 244-248. Röger, Gabriele and Helmert, Malte and Seipp, Jendrik and Sievers, Silvan. (2020) An Atom-Centric Perspective on Stubborn Sets. In: Proceedings of the 13th Annual Symposium on Combinatorial Search (SoCS 2020). pp. 57-65. Ferber, Patrick and Helmert, Malte and Hoffmann, Jörg. (2020) Reinforcement Learning for Planning Heuristics. Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). pp. 119-126. Hoffmann, Jörg and Helmert, Malte and Gnad, Daniel and Pommerening, Florian. (2020) Planen. In: Handbuch der Künstlichen Intelligenz. Berlin, pp. 395-427. 2019Rovner, Alexander and Sievers, Silvan and Helmert, Malte. (2019) Counterexample-Guided Abstraction Refinement for Pattern Selection in Optimal Classical Planning. In: Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), 29. pp. 362-367. Seipp, Jendrik and Helmert, Malte. (2019) Subset-Saturated Cost Partitioning for Optimal Classical Planning. In: Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019). pp. 391-400. 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. Pommerening, Florian and Röger, Gabriele and Helmert, Malte and Cambazard, Hadrien and Rousseau, Louis-Martin and Salvagnin, Domenico. (2019) Lagrangian Decomposition for Optimal Cost Partitioning. In: Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), 29. pp. 338-347. Helmert, Malte and Lattimore, Tor and Lelis, Levi H. S. and Orseau, Laurent and Sturtevant, Nathan R.. (2019) Iterative Budgeted Exponential Search. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. pp. 1249-1257. 2018Eriksson, Salomé and Röger, Gabriele and Helmert, Malte. (2018) A Proof System for Unsolvable Planning Tasks. In: Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS 2018). pp. 65-73. 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. Eriksson, Salomé and Röger, Gabriele and Helmert, Malte. (2018) Inductive Certificates of Unsolvability for Domain-Independent Planning. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. pp. 5244-5248. Seipp, Jendrik and Helmert, Malte. (2018) Counterexample-Guided Cartesian Abstraction Refinement for Classical Planning. Journal of Artificial Intelligence Research, 62. pp. 535-577. 2017Pommerening, Florian and Helmert, Malte and Bonet, Blai. (2017) Higher-Dimensional Potential Heuristics for Optimal Classical Planning. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017). pp. 3636-3643. 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. Pommerening, Florian and Helmert, Malte and Bonet, Blai. (2017) Abstraction Heuristics, Cost Partitioning and Network Flows. In: Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS 2017). Eriksson, Salomé and Röger, Gabriele and Helmert, Malte. (2017) Unsolvability Certificates for Classical Planning. In: Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS 2017). Helmert, Malte and Sturtevant, Nathan R. and Felner, Ariel. (2017) On Variable Dependencies and Compressed Pattern Databases. In: Proceedings of the 10th Annual Symposium on Combinatorial Search (SoCS 2017). Sievers, Silvan and Wehrle, Martin and Helmert, Malte and Katz, Michael. (2017) Strengthening Canonical Pattern Databases with Structural Symmetries. In: Proceedings of the 10th Annual Symposium on Combinatorial Search (SoCS 2017). pp. 91-99. 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). Sturtevant, Nathan R. and Felner, Ariel and Helmert, Malte. (2017) Value Compression of Pattern Databases. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 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). 2016Sievers, Silvan and Wehrle, Martin and Helmert, Malte. (2016) An Analysis of Merge Strategies for Merge-and-Shrink Heuristics. In: Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS 2016). pp. 294-298. Wehrle, Martin and Sievers, Silvan and Helmert, Malte. (2016) Graph-Based Factorization of Classical Planning Problems. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 4. Palo Alto, California, pp. 3286-3292. Seipp, Jendrik and Pommerening, Florian and Röger, Gabriele and Helmert, Malte. (2016) Correlation Complexity of Classical Planning Domains. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 4. pp. 3242-3250. Friedrich, Gerhard and Helmert, Malte and Wotawa, Franz, eds. (2016) KI 2016: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence, 9904. Heidelberg, Germany. Paul, Gerald and Helmert, Malte. (2016) Optimal Solitaire Game Solutions using A* Search and Deadlock Analysis. In: Proceedings of the Ninth Annual Symposium on Combinatorial Search (SoCS 2016). pp. 135-136. 2015Shleyfman, Alexander and Katz, Michael and Helmert, Malte and Sievers, Silvan and Wehrle, Martin. (2015) Heuristics and symmetries in classical planning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) : January 25 –30, 2015, Austin, Texas, USA. Palo Alto, Calif., pp. 3371-3377. Sievers, Silvan and Wehrle, Martin and Helmert, Malte and Shleyfman, Alexander and Katz, Michael. (2015) Factored symmetries for merge-and-shrink abstractions. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) : January 25 –30, 2015, Austin, Texas, USA. Palo Alto, Calif., pp. 3378-3385. Pommerening, Florian and Helmert, Malte and Röger, Gabriele and Seipp, Jendrik. (2015) From non-negative to general operator cost partitioning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) : January 25 –30, 2015, Austin, Texas, USA. Palo Alto, Calif., pp. 3335-3341. Seipp, Jendrik and Sievers, Silvan and Helmert, Malte and Hutter, Frank. (2015) Automatic configuration of sequential planning portfolios. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015) : January 25 –30, 2015, Austin, Texas, USA. Palo Alto, Calif., pp. 3364-3370. Pommerening, Florian and Helmert, Malte. (2015) A Normal Form for Classical Planning Tasks. In: Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS 2015). Palo Alto, California, pp. 188-192. Seipp, Jendrik and Pommerening, Florian and Helmert, Malte. (2015) New Optimization Functions for Potential Heuristics. In: Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS 2015). Palo Alto, California, pp. 193-201. Wehrle, Martin and Helmert, Malte and Shleyfman, Alexander and Katz, Michael. (2015) Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). Palo Alto, California, pp. 1712-1718. Helmert, Malte and Röger, Gabriele and Sievers, Silvan. (2015) On the expressive power of non-linear Merge-and-Shrink representations. In: Proceedings of the 25th International Conference on Automated Planning and Scheduling (ICAPS 2015). Palo Alto, California, pp. 106-114. Sievers, Silvan and Helmert, Malte. (2015) A Doppelkopf Player Based on UCT. In: Proceedings of the 38th Annual German Conference on Artificial Intelligence. Cham, pp. 151-165. Sievers, Silvan and Wehrle, Martin and Helmert, Malte and Katz, Michael. (2015) An Empirical Case Study on Symmetry Handling in Cost-Optimal Planning as Heuristic Search. In: Proceedings of the 38th Annual German Conference on Artificial Intelligence. Cham, pp. 166-180. Pommerening, Florian and Röger, Gabriele and Helmert, Malte and Bonet, Blai. (2015) Heuristics for cost-optimal classical planning based on linear programming. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015). Palo Alto, California, pp. 4303-4309. 2014Helmert, Malte and Haslum, Patrik and Hoffmann, Joerg and Nissim, Raz. (2014) Merge-and-shrink abstraction : a method for generating lower bounds in factored state spaces. Journal of the ACM, Vol. 61, H. 3 , no. 16. pp. 1-63. Pommerening, Florian and Röger, Gabriele and Helmert, Malte and Bonet, Blai. (2014) LP-based heuristics for cost-optimal planning. In: Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014): [held on June 21-26 in Portsmouth, New Hampshire, USA]. Palo Alto, Calif., pp. 226-234. Heusner, Manuel and Wehrle, Martin and Pommerening, Florian and Helmert, Malte. (2014) Under-Approximation Refinement for Classical Planning. In: Proceedings of ICAPS 2014, the 24th International Conference on Automated Planning and Scheduling. Palo Alto, Calif., pp. 365-369. Sievers, Silvan and Wehrle, Martin and Helmert, Malte. (2014) Generalized label reduction for merge-and-shrink heuristics. In: Proceedings of twenty-eighth AAAI Conference on Artificial Intelligence and the twenty-sixth Innovative Applications of Artificial Intelligence Conference (AAAI 2014) : 27-31 July 2014, Québec City, Québec, Canada, 3. Palo Alto, Calif., pp. 2358-2366. Seipp, Jendrik and Helmert, Malte. (2014) Diverse and additive Cartesian abstraction heuristics. In: Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014): [held on June 21-26 in Portsmouth, New Hampshire, USA]. Palo Alto, Calif., pp. 289-297. Wehrle, Martin and Helmert, Malte. (2014) Efficient stubborn sets : generalized algorithms and selection strategies. In: Proceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS 2014): [held on June 21-26 in Portsmouth, New Hampshire, USA]. Palo Alto, Calif., pp. 323-331. Röger, Gabriele and Pommerening, Florian and Helmert, Malte. (2014) Optimal planning in the presence of conditional effects : extending LM-Cut with context-splitting. In: ECAI 2014 : 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic. Amsterdam, pp. 765-770. Sievers, Silvan and Wehrle, Martin and Helmert, Malte. (2014) Bounded intention planning revisited. In: ECAI 2014 : 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic. Amsterdam, pp. 1097-1098. Sturtevant, Nathan R. and Felner, Ariel and Helmert, Malte. (2014) Exploiting the Rubik's Cube 12-edge PDB by combining partial pattern databases and Bloom filters. In: Proceedings of the Seventh International Symposium on Combinatorial Search (SoCS-2014), 15 - 17 August 2014, Prague, Czech Republic. Palo Alto, Calif., pp. 175-183. 2013López, Carlos Linares and Jiménez, Sergio and Helmert, Malte. (2013) Automating the evaluation of planning systems. AI communications, Vol. 26, H. 4. pp. 331-354. Helmert, Malte and Röger, Gabriele, eds. (2013) Proceedings of the Sixth Annual Symposium on Combinatorial Search, SOCS 2013, Leavenworth, Washington, USA, July 11-13, 2013. Palo Alto, California. Wehrle, Martin and Helmert, Malte and Alkhazraji, Yusra and Mattmüller, Robert. (2013) The relative pruning power of strong stubborn sets and expansion core. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 251-259. Seipp, Jendrik and Helmert, Malte. (2013) Counterexample-guided Cartesian abstraction refinement. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 347-351. Pommerening, Florian and Helmert, Malte. (2013) Incremental LM-Cut. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 162-170. Keller, Thomas and Helmert, Malte. (2013) Trial-based heuristic tree search for finite horizon MDPs. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 135-143. Eyerich, Patrick and Helmert, Malte. (2013) Stronger abstraction heuristics through perimeter search. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 303-307. Pommerening, Florian and Röger, Gabriele and Helmert, Malte. (2013) Getting the most out of pattern databases for classical planning. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). Menlo Park (CA), pp. 2357-2364. Seipp, Jendrik and Helmert, Malte. (2013) Additive counterexample-guided Cartesian abstraction refinement. In: Late-breaking developments in the field of artificial intelligence : papers presented at the Twenty-Seventh AAAI Conference on Artificial Intelligence, [in Bellevue, WA, July 14 - 18, 2013] (AAAI 2013). Palo Alto, Calif., pp. 119-121. Haslum, Patrik and Helmert, Malte and Jonsson, Anders. (2013) Safe, strong and tractable relevance analysis for planning. In: Proceedings of the 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013) : [held 10 - 14 June 2013 in Rome, Italy]. Palo Alto, Calif., pp. 317-321. 2012Schmid, Ute and Mandl, Stefan and Gust, Helmar and Kitzelmann, Emanuel and Helmert, Malte and Buschmeier, Hendrik and Yaghoubzadeh, Ramin and Pietsch, Christian and Kopp, Stefan and Hertzberg, Joachim and Sprickerhof, Jochen and Wiemann, Thomas. (2012) What Language Do You Use to Create Your AI Programs and Why? KI – Künstliche Intelligenz, Vol. 26, H. 1. pp. 99-106. Katz, Michael and Hoffmann, Jörg and Helmert, Malte. (2012) How to relax a bisimulation? In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 101-109. Pommerening, Florian and Helmert, Malte. (2012) Optimal planning for delete-free tasks with incremental LM-cut. In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 363-367. Wehrle, Martin and Helmert, Malte. (2012) About partial order reduction in planning and computer aided verification. In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 297-305. Seipp, Jendrik and Braun, Manuel and Garimort, Johannes and Helmert, Malte. (2012) Learning portfolios of automatically tuned planners. In: Proceedings of the 22nd International Conference on Automated Planning and Scheduling (ICAPS 2012). Atibaia, pp. 368-372. Alkhazraji, Yusra and Wehrle, Martin and Mattmüller, Robert and Helmert, Malte. (2012) A stubborn set algorithm for optimal planning. In: Proceedings of the 20th European Conference on Artificial Intelligence (ECAI 2012). [s.l.], pp. 891-892. Sievers, Silvan and Ortlieb, Manuela and Helmert, Malte. (2012) Efficient implementation of pattern database heuristics for classical planning. In: Proceedings of the Fifth Annual Symposium on Combinatorial Search (SoCS 2012). [Niagara Falls], pp. 105-111. Röger, Gabriele and Helmert, Malte. (2012) Non-optimal multi-agent pathfinding is solved (since 1984). In: Proceedings of the Fifth Annual Symposium on Combinatorial Search (SoCS 2012). [Niagara Falls], pp. 173-174. Thayer, Jordan T. and Benton, J. and Helmert, Malte. (2012) Better parameter-free anytime search by minimizing time between solutions. In: Proceedings of the Fifth Annual Symposium on Combinatorial Search (SoCS 2012). [Niagara Falls], pp. 120-128. 2011Domshlak, Carmel and Helmert, Malte and Karpas, Erez and Keyder, Emil and Richter, Silvia and Röger, Gabriele and Seipp, Jendrik and Westphal, Matthias. (2011) BJOLP: the Big Joint Optimal Landmarks Planner. [S.l.]. Nissim, Raz and Hoffmann, Jörg and Helmert, Malte. (2011) Computing perfect heuristics in polynomial time : on bisimulation and merge-and-shrink abstractions in optimal planning. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011). Menlo Park (Calif.), pp. 1983-1990. |