Add to ORKGPlanning as satisfiability is a powerful approach to solving domain independent planning problems. In this paper, we consider a relaxed semantics for plans with parallel operator application based on ∃-step semantics. Operators can be applied in parall
We establish a novel relation between delete-free planning, an important task for the AI planning co...
AbstractPlanning as satisfiability is a very efficient technique for classical planning, i.e., for p...
We present the first effective SAT heuristics for planning with expressive planning languages such a...
We consider a number of semantics for plans with parallel operator application. The standard semant...
AbstractWe address two aspects of constructing plans efficiently by means of satisfiability testing:...
We address two aspects of constructing plans efficiently by means of satisfiability testing: efficie...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the s...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the s...
We develop a formal model of planning based on satisfiability rather than deduction. The satisabilit...
Planning based on propositional SAT(isfiability) is a power-ful approach to computing step-optimal p...
Planning based on propositional SAT(isfiability) is a powerful approach to computing step-optimal pl...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
AbstractWe address two aspects of constructing plans efficiently by means of satisfiability testing:...
We establish a novel relation between delete-free planning, an important task for the AI planning co...
AbstractPlanning as satisfiability is a very efficient technique for classical planning, i.e., for p...
We present the first effective SAT heuristics for planning with expressive planning languages such a...
We consider a number of semantics for plans with parallel operator application. The standard semant...
AbstractWe address two aspects of constructing plans efficiently by means of satisfiability testing:...
We address two aspects of constructing plans efficiently by means of satisfiability testing: efficie...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the s...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the s...
We develop a formal model of planning based on satisfiability rather than deduction. The satisabilit...
Planning based on propositional SAT(isfiability) is a power-ful approach to computing step-optimal p...
Planning based on propositional SAT(isfiability) is a powerful approach to computing step-optimal pl...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
The FF relaxed plan heuristic is one of the most effective techniques in domain-independent satisfic...
AbstractWe address two aspects of constructing plans efficiently by means of satisfiability testing:...
We establish a novel relation between delete-free planning, an important task for the AI planning co...
AbstractPlanning as satisfiability is a very efficient technique for classical planning, i.e., for p...
We present the first effective SAT heuristics for planning with expressive planning languages such a...