3 papers
cs.AI2026
Learning Lifted Action Models from Traces with Minimal Information About Actions and States
Jonas Gösgens, Niklas Jansen, Hector Geffner
It has been recently shown that lifted STRIPS models can be learned correctly and efficiently from action traces alone; i.e., applicable action sequences from a hidden STRIPS model…
cs.AI2025
Learning Lifted Action Models From Traces of Incomplete Actions and States
Niklas Jansen, Jonas Gösgens, Hector Geffner
Consider the problem of learning a lifted STRIPS model of the sliding-tile puzzle from random state-action traces where the states represent the location of the tiles only, and the…
cs.AI2025
Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
Jonas Gösgens, Niklas Jansen, Hector Geffner
Learning STRIPS action models from action traces alone is a challenging problem as it involves learning the domain predicates as well. In this work, a novel approach is introduced…