Simon Ståhlberg

According to our database, Simon Ståhlberg authored at least 23 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning.

Michael Aichmüller, Simon Ståhlberg, Martin Funkquist, Hector Geffner

CoRR, May, 2026

First-Order Representation Languages for Goal-Conditioned RL.

Simon Ståhlberg, Hector Geffner

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Code and Data for the AAAI 2026 paper "First-Order Representation Languages for Goal-Conditioned RL".

Simon Ståhlberg, Hector Geffner

Dataset, November, 2025

Learning More Expressive General Policies for Classical Planning Domains.

Simon Ståhlberg, Blai Bonet, Hector Geffner

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Code, Data and Models for the AAAI 2025 paper "Learning More Expressive General Policies for Classical Planning Domains".

Simon Ståhlberg, Blai Bonet, Hector Geffner

Dataset, December, 2024

Code and Data for the Paper titled "Symmetries and Expressive Requirements for Learning General Policies".

Dominik Drexler, Simon Ståhlberg, Blai Bonet, Hector Geffner

Dataset, August, 2024

Learning General Policies for Classical Planning Domains: Getting Beyond C₂.

Simon Ståhlberg, Blai Bonet, Hector Geffner

CoRR, 2024

Learning to Ground Existentially Quantified Goals.

Martin Funkquist, Simon Ståhlberg, Hector Geffner

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

Symmetries and Expressive Requirements for Learning General Policies.

Dominik Drexler, Simon Ståhlberg, Blai Bonet, Hector Geffner

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

2023

Code and Data for the KR 2023 paper "Learning General Policies with Policy Gradient Methods".

Simon Ståhlberg, Blai Bonet, Hector Geffner

Dataset, June, 2023

Learning General Policies with Policy Gradient Methods.

Simon Ståhlberg, Blai Bonet, Hector Geffner

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Lifted Successor Generation by Maximum Clique Enumeration.

Simon Ståhlberg

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Code and Data for the KR 2022 paper "Learning Generalized Policies Without Supervision Using GNNs".

Simon Ståhlberg, Blai Bonet, Hector Geffner

Dataset, May, 2022

Code and Data for the ICAPS 2022 paper "Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits".

Simon Ståhlberg, Blai Bonet, Hector Geffner

Dataset, March, 2022

Learning Generalized Policies without Supervision Using GNNs.

Simon Ståhlberg, Blai Bonet, Hector Geffner

Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits.

Simon Ståhlberg, Blai Bonet, Hector Geffner

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Learning Generalized Unsolvability Heuristics for Classical Planning.

Simon Ståhlberg, Guillem Francès, Jendrik Seipp

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2017

Methods for Detecting Unsolvable Planning Instances using Variable Projection.

Simon Ståhlberg

PhD thesis, 2017

Tailoring Pattern Databases for Unsolvable Planning Instances.

Simon Ståhlberg

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Refining complexity analyses in planning by exploiting the exponential time hypothesis.

Meysam Aghighi, Christer Bäckström, Peter Jonsson, Simon Ståhlberg

Ann. Math. Artif. Intell., 2016

Analysing Approximability and Heuristics in Planning Using the Exponential-Time Hypothesis.

Meysam Aghighi, Christer Bäckström, Peter Jonsson, Simon Ståhlberg

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs.

Meysam Aghighi, Peter Jonsson, Simon Ståhlberg

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Fast Detection of Unsolvable Planning Instances Using Local Consistency.

Christer Bäckström, Peter Jonsson, Simon Ståhlberg

Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013