5 citations · 6 across the 2 of their papers we have counts for
3 papers
Learning First-Order Symbolic Planning Representations That Are Grounded
Andrés Occhipinti Liberman, Blai Bonet, Hector Geffner
Two main approaches have been developed for learning first-order planning (action) models from unstructured data: combinatorial approaches that yield crisp action schemas from the…
Learning to Act and Observe in Partially Observable Domains
Thomas Bolander, Nina Gierasimczuk, Andrés Occhipinti Liberman
We consider a learning agent in a partially observable environment, with which the agent has never interacted before, and about which it learns both what it can observe and how its…
Dynamic Term-Modal Logics for First-Order Epistemic Planning
Andrés Occhipinti Liberman, Andreas Achen, Rasmus Kræmmer Rendsvig
Many classical planning frameworks are built on first-order languages. The first-order expressive power is desirable for compactly representing actions via schemas, and for specify…