Representation, Learning and Planning Lab

Welcome!

We are the Representation, Learning and Planning Lab at Linköping University. Our research topics of interest include:

News

David Speck joins the group.

2022-06-01


Our paper "Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits" receives the ICAPS 2022 Best Paper Award.

2022-05-05


Daniel Gnad receives the ICAPS Best Dissertation Award for his thesis "Star-Topology Decoupled State-Space Search in AI Planning and Model Checking".

2022-05-03


Our group has five accepted papers at ICAPS 2022.

2022-03-01


Daniel Gnad joins the group.

2022-02-01


Our paper "Learning Generalized Unsolvability Heuristics for Classical Planning" receives an IJCAI 2021 Distinguished Paper Award.

2021-08-25


Acknowledgment

Our research is primarily supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is a major national initiative for strategically motivated basic research, education and faculty recruitment. The funding is generously provided by the Knut and Alice Wallenberg Foundation (KAW).