Efficient Implementation of Pattern Database Heuristics for Classical Planning. - Silvan Sievers; Manuela Ortlieb; Malte Helmert (SOCS, 2012)

Generalized Label Reduction for Merge-and-Shrink Heuristics. - Silvan Sievers; Martin Wehrle; Malte Helmert (AAAI, 2014)

Bounded Intention Planning Revisited. - Silvan Sievers; Martin Wehrle; Malte Helmert (ECAI, 2014)

Automatic Configuration of Sequential Planning Portfolios. - Jendrik Seipp; Silvan Sievers; Malte Helmert; Frank Hutter (AAAI, 2015)

Heuristics and Symmetries in Classical Planning. - Alexander Shleyfman; Michael Katz 001; Malte Helmert; Silvan Sievers; Martin Wehrle (AAAI, 2015)

Factored Symmetries for Merge-and-Shrink Abstractions. - Silvan Sievers; Martin Wehrle; Malte Helmert; Alexander Shleyfman; Michael Katz 001 (AAAI, 2015)

On the Expressive Power of Non-Linear Merge-and-Shrink Representations. - Malte Helmert; Gabriele Röger; Silvan Sievers (ICAPS, 2015)

A Doppelkopf Player Based on UCT. - Silvan Sievers; Malte Helmert (KI, 2015)

An Empirical Case Study on Symmetry Handling in Cost-Optimal Planning as Heuristic Search. - Silvan Sievers; Martin Wehrle; Malte Helmert; Michael Katz 001 (KI, 2015)

An Analysis of Merge Strategies for Merge-and-Shrink Heuristics. - Silvan Sievers; Martin Wehrle; Malte Helmert (ICAPS, 2016)

Graph-Based Factorization of Classical Planning Problems. - Martin Wehrle; Silvan Sievers; Malte Helmert (IJCAI, 2016)

Strengthening Canonical Pattern Databases with Structural Symmetries. - Silvan Sievers; Martin Wehrle; Malte Helmert; Michael Katz 001 (SOCS, 2017)

Symmetry-Based Task Reduction for Relaxed Reachability Analysis. - Gabriele Röger; Silvan Sievers; Michael Katz 001 (ICAPS, 2018)

Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions. - Silvan Sievers (SOCS, 2018)

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection. - Silvan Sievers; Michael Katz 001; Shirin Sohrabi; Horst Samulowitz; Patrick Ferber (AAAI, 2019)

Counterexample-Guided Abstraction Refinement for Pattern Selection in Optimal Classical Planning. - Alexander Rovner; Silvan Sievers; Malte Helmert (ICAPS, 2019)

Theoretical Foundations for Structural Symmetries of Lifted PDDL Tasks. - Silvan Sievers; Gabriele Röger; Martin Wehrle; Michael Katz 001 (ICAPS, 2019)

Merge-and-Shrink Task Reformulation for Classical Planning. - Álvaro Torralba; Silvan Sievers (IJCAI, 2019)

Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning. - Silvan Sievers; Florian Pommerening; Thomas Keller 001; Malte Helmert (IJCAI, 2020)

An Atom-Centric Perspective on Stubborn Sets. - Gabriele Röger; Malte Helmert; Jendrik Seipp; Silvan Sievers (SOCS, 2020)

Dantzig-Wolfe Decomposition for Cost Partitioning. - Florian Pommerening; Thomas Keller 001; Valentina Halasi; Jendrik Seipp; Silvan Sievers; Malte Helmert (ICAPS, 2021)

Automatic Instance Generation for Classical Planning. - Álvaro Torralba; Jendrik Seipp; Silvan Sievers (ICAPS, 2021)

On Weak Stubborn Sets in Classical Planning. - Silvan Sievers; Martin Wehrle (IJCAI, 2021)

Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems. - Silvan Sievers; Malte Helmert (J. Artif. Intell. Res., 2021)

On the Complexity of Heuristic Synthesis for Satisficing Classical Planning: Potential Heuristics and Beyond. - Malte Helmert; Silvan Sievers; Alexander Rovner; Augusto B. Corrêa (ICAPS, 2022)

Additive Pattern Databases for Decoupled Search. - Silvan Sievers; Daniel Gnad 001; Álvaro Torralba (SOCS, 2022)

Efficient Evaluation of Large Abstractions for Decoupled Search: Merge-and-Shrink and Symbolic Pattern Databases. - Daniel Gnad 001; Silvan Sievers; Álvaro Torralba (ICAPS, 2023)

A Theory of Merge-and-Shrink for Stochastic Shortest Path Problems. - Thorsten Klößner; Álvaro Torralba; Marcel Steinmetz; Silvan Sievers (ICAPS, 2023)

Computing Domain Abstractions for Optimal Classical Planning with Counterexample-Guided Abstraction Refinement. - Raphael Kreft; Clemens Büchner; Silvan Sievers; Malte Helmert (ICAPS, 2023)

PARIS: Planning Algorithms for Reconfiguring Independent Sets. - Remo Christen; Salomé Eriksson; Michael Katz 001; Christian Muise; Alice Petrov; Florian Pommerening; Jendrik Seipp; Silvan Sievers; David Speck 001 (ECAI, 2023)

Merge-and-Shrink Heuristics for SSPs with Prune Transformations. - Thorsten Klößner; Álvaro Torralba; Marcel Steinmetz; Silvan Sievers (ECAI, 2024)

Merging or Computing Saturated Cost Partitionings? A Merge Strategy for the Merge-and-Shrink Framework. - Silvan Sievers; Thomas Keller 001; Gabriele Röger (ICAPS, 2024)