论文信息 - LOUGA: Learning Planning Operators Using Genetic Algorithms

LOUGA: Learning Planning Operators Using Genetic Algorithms

Planning domain models are critical input to current automated planners. These models provide description of planning operators that formalize how an agent can change the state of the world. It is not easy to obtain accurate description of planning operators, namely to ensure that all preconditions and effects are properly specified. Therefore automated techniques to learn them are important for domain modelling.

Roman Barták | Jirí Kucera | R. Barták | Jirí Kucera

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