2 papers
cs.AI2026
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
Michael Aichmüller, Simon Ståhlberg, Martin Funkquist +1
Generalized planning aims to learn policies that generalize across collections of instances within a classical planning domain. Recent Graph Neural Network (GNN) approaches have le…
cs.AI2024
Learning to Ground Existentially Quantified Goals
Martin Funkquist, Simon Ståhlberg, Hector Geffner
Goal instructions for autonomous AI agents cannot assume that objects have unique names. Instead, objects in goals must be referred to by providing suitable descriptions. However,…