1 citations · 1 across the 5 of their papers we have counts for
5 papers
Compiling Temporal Numeric Planning into Discrete PDDL+: Extended Version
Andrea Micheli, Enrico Scala, Alessandro Valentini
Since the introduction of the PDDL+ modeling language, it was known that temporal planning with durative actions (as in PDDL 2.1) could be compiled into PDDL+. However, no practica…
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…
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
Argaman Mordoch, Enrico Scala, Roni Stern +1
Powerful domain-independent planners have been developed to solve various types of planning problems. These planners often require a model of the acting agent's actions, given in s…