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Towards AI Planning Efficiency: Finite-domain State Variable Reformulation

Publication at Charles University, Faculty of Mathematics and Physics |
2013

Abstract

In paper we propose novel method for automatically generating an efficient state-variable representation from the propositional representatation for planning domain.