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cs.AI2025
From Next Token Prediction to (STRIPS) World Models
Carlos Núñez-Molina, Vicenç Gómez, Hector Geffner
We study whether next-token prediction can yield world models that truly support planning, in a controlled symbolic setting where propositional STRIPS action models are learned fro…
cs.AI2021
Hierarchical Width-Based Planning and Learning
Miquel Junyent, Vicenç Gómez, Anders Jonsson
Width-based search methods have demonstrated state-of-the-art performance in a wide range of testbeds, from classical planning problems to image-based simulators such as Atari game…