1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
Subgoaling Relaxation-based Heuristics for Numeric Planning with Infinite Actions
Ángel Aso-Mollar, Diego Aineto, Enrico Scala +1
Numeric planning with control parameters extends the standard numeric planning model by introducing action parameters as free numeric variables that must be instantiated during pla…
Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions
Ángel Aso-Mollar, Diego Aineto, Enrico Scala +1
In automated planning, control parameters extend standard action representations through the introduction of continuous numeric decision variables. Existing state-of-the-art approa…
Action Model Learning with Guarantees
Diego Aineto, Enrico Scala
This paper studies the problem of action model learning with full observability. Following the learning by search paradigm by Mitchell, we develop a theory for action model learnin…
Learning STRIPS Action Models with Classical Planning
Diego Aineto, Sergio Jiménez, Eva Onaindia
This paper presents a novel approach for learning STRIPS action models from examples that compiles this inductive learning task into a classical planning task. Interestingly, the c…