Onaindia De La Rivaherrera, Eva; Aineto, Diego; Jiménez-Celorrio, Sergio(Springer-Verlag, 2018)
[EN] Causality is a fundamental part of reasoning to model the physics of an application domain, to understand the behaviour of an agent or to identify the relationship between two entities. Causality occurs when an action ...
Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva(AI Access Foundation, 2022)
[EN] A declarative action model is a compact representation of the state transitions of dynamic systems that generalizes over world objects. The specification of declarative action models is often a complex hand-crafted ...
[EN] Finite State Controllers (FSCs) are an effective way to compactly represent sequential plans. By imposing appropriate conditions on transitions, FSCs can also represent generalized plans (plans that solve a range of ...
[EN] Generalized planning is the task of generating a single solution (a generalized plan) that is valid for multiple planning instances. In this paper we introduce a novel formalism for representing generalized plans that ...
[EN] Planning as heuristic search is one of the most successful approaches to classical planning but unfortunately, it does not trivially extend to Generalized Planning (GP); GP aims to compute algorithmic solutions that ...
[EN] Generalized planning aims at computing an algorithm-like
structure (generalized plan) that solves a set of multiple planning instances. In this paper we define negative examples for
generalized planning as planning ...
Aineto García, Diego(Universitat Politècnica de València, 2022-09-02)
[ES] Inferencia y aprendizaje son los actos de razonar sobre evidencia recogida con el fin de alcanzar conclusiones lógicas sobre el proceso que la originó. En el contexto de un modelo de espacio de estados, inferencia y ...
Diosdado López, Daniel(Universitat Politècnica de València, 2019-10-28)
[ES] Este trabajo describe un novedoso enfoque de crear agentes capaces de jugar a múltiples videojuegos que se basa en un mecanismo que intercala planificación y aprendizaje. La planificación se utiliza para explorar el ...
Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva(Elsevier, 2019-10)
[EN] This paper presents FAMA, a novel approach for learning STRIPS action models from observations of plan executions that compiles the learning task into a classical planning task. Unlike all existing learning systems, ...
Aineto, Diego; Jiménez-Celorrio, Sergio; Onaindia De La Rivaherrera, Eva(Association for the Advancement of Artificial Intelligence, 2020-06-19)
[EN] Observation decoding aims at discovering the underlyingstate trajectory of an acting agent from a sequence of observa-tions. This task is at the core of various recognition activitiesthat exploit planning as resolution ...
Cervantes Rodríguez, Cristóbal Andrés(Universitat Politècnica de València, 2019-10-29)
[ES] Una de las tareas importantes de la inteligencia artificial consiste en crear inteligencia
capaz de dominar múltiples tareas en lugar de especializarse en una sola. Los videojuegos son un entorno ideal para probar y ...
Bonet Cortés, Enric(Universitat Politècnica de València, 2020-10-13)
[EN] Nowadays, the video-game industry has grown so much that it has transformed this
sector into one of the most productive and important in the world. Such is its weight
in society, that even the field of Artificial ...