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13 papers · 1 filter
Generalized Planning as Heuristic Search
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Although heuristic search is one of the most successful approaches to classical planning, this planning paradigm does not apply straightforwardly to Generalized Planning (GP). Plan…
Learning General Policies from Small Examples Without Supervision
Guillem Francès, Blai Bonet, Hector Geffner
Generalized planning is concerned with the computation of general policies that solve multiple instances of a planning domain all at once. It has been recently shown that these pol…
General Policies, Serializations, and Planning Width
Blai Bonet, Hector Geffner
It has been observed that in many of the benchmark planning domains, atomic goals can be reached with a simple polynomial exploration procedure, called IW, that runs in time expone…
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
Michiel van der Meer, Matteo Pirotta, Elia Bruni
In this work, we present an alternative approach to making an agent compositional through the use of a diagnostic classifier. Because of the need for explainable agents in automate…
Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition
Camilo M. Signorelli, Xerxes D. Arsiwalla
Traditionally, the way one evaluates the performance of an Artificial Intelligence (AI) system is via a comparison to human performance in specific tasks, treating humans as a refe…
Hierarchical Finite State Controllers for Generalized Planning
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Finite State Controllers (FSCs) are an effective way to represent sequential plans compactly. By imposing appropriate conditions on transitions, FSCs can also represent generalized…