Silvan Sievers

发表

Merge-and-Shrink Task Reformulation for Classical Planning

Álvaro Torralba, Silvan Sievers, Á. Torralba, 2019, IJCAI.

Merge-and-shrink abstractions for classical planning : theory, strategies, and implementation

Silvan Sievers, Silvan Sievers, 2017 .

An Empirical Case Study on Symmetry Handling in Cost-Optimal Planning as Heuristic Search

Malte Helmert, Michael Katz, Silvan Sievers, 2015, KI.

Symmetry-Based Task Reduction for Relaxed Reachability Analysis

Michael Katz, Silvan Sievers, Gabriele Röger, 2018, ICAPS.

Efficient Implementation of Pattern Database Heuristics for Classical Planning

Malte Helmert, Silvan Sievers, Manuela Ortlieb, 2021, SOCS.

Automatic Configuration of Sequential Planning Portfolios

Jendrik Seipp, Malte Helmert, Frank Hutter, 2015, AAAI.

Heuristics and Symmetries in Classical Planning

Malte Helmert, Michael Katz, Silvan Sievers, 2015, AAAI.

A Doppelkopf Player Based on UCT

Malte Helmert, Silvan Sievers, 2015, KI.

Factored Symmetries for Merge-and-Shrink Abstractions

Malte Helmert, Michael Katz, Silvan Sievers, 2015, AAAI.

An Atom-Centric Perspective on Stubborn Sets

Jendrik Seipp, Malte Helmert, Silvan Sievers, 2020, SOCS.

An Analysis of Merge Strategies for Merge-and-Shrink Heuristics

Malte Helmert, Silvan Sievers, Martin Wehrle, 2016, ICAPS.

Strengthening Canonical Pattern Databases with Structural Symmetries

Malte Helmert, Michael Katz, Silvan Sievers, 2017, SOCS.

Code and experiment data for the AAAI 2015 paper "Automatic Configuration of Sequential Planning Portfolios"

Jendrik Seipp, Malte Helmert, Silvan Sievers, 2020 .

Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions

Silvan Sievers, Silvan Sievers, 2021, SOCS.

Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning

Malte Helmert, Silvan Sievers, Thomas Keller, 2020, IJCAI.

Bounded Intention Planning Revisited

Malte Helmert, Silvan Sievers, Martin Wehrle, 2014, ECAI.

Graph-Based Factorization of Classical Planning Problems

Malte Helmert, Silvan Sievers, Martin Wehrle, 2016, IJCAI.

Counterexample-Guided Abstraction Refinement for Pattern Selection in Optimal Classical Planning

Malte Helmert, Silvan Sievers, Alexander Rovner, 2019, ICAPS.

Theoretical Foundations for Structural Symmetries of Lifted PDDL Tasks

Michael Katz, Silvan Sievers, Martin Wehrle, 2019, ICAPS.

Generalized Label Reduction for Merge-and-Shrink Heuristics

Malte Helmert, Silvan Sievers, Martin Wehrle, 2014, AAAI.

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection

Shirin Sohrabi, Horst Samulowitz, Michael Katz, 2019, AAAI.

On the Expressive Power of Non-Linear Merge-and-Shrink Representations

Malte Helmert, Silvan Sievers, Gabriele Röger, 2015, ICAPS.

Code, benchmarks and experiment data for the ICAPS 2021 paper "Dantzig-Wolfe Decomposition for Cost Partitioning"

Jendrik Seipp, Malte Helmert, Silvan Sievers, 2021 .

Code and Benchmarks from the paper "Automatic Instance Generation for Classical Planning"'

Jendrik Seipp, Álvaro Torralba, Silvan Sievers, 2021 .

On Weak Stubborn Sets in Classical Planning

Silvan Sievers, Martin Wehrle, 2021, IJCAI.

Merge-and-Shrink: A Compositional Theory of Transformations of Factored Transition Systems

Malte Helmert, Silvan Sievers, M. Helmert, 2021, J. Artif. Intell. Res..

Code and experiment data for the AAAI 2015 paper "Factored Symmetries for Merge-and-Shrink Abstractions"

Malte Helmert, Michael Katz, Silvan Sievers, 2021 .

Dantzig-Wolfe Decomposition for Cost Partitioning

Jendrik Seipp, Malte Helmert, Silvan Sievers, 2021, ICAPS.

Automatic Instance Generation for Classical Planning

Jendrik Seipp, Álvaro Torralba, Silvan Sievers, 2021, ICAPS.

Structural Symmetries of the Lifted Representation of Classical Planning Tasks

Silvan Sievers, Martin Wehrle, Gabriele Röger, 2017 .

Fast Downward Aidos

Jendrik Seipp, Silvan Sievers, Florian Pommerening, 2016 .

Fast Downward SMAC

Jendrik Seipp, Frank Hutter, Silvan Sievers, 2014 .

Fast Downward Merge-and-Shrink

Silvan Sievers, 2018 .