Registration for this course is open until Tuesday, 23.04.2024 23:59.


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AI Planning

AI Planning is one of the fundamental sub-areas of Artificial Intelligence, concerned with methods taking long-term action decisions in complex environments. The course builds directly upon the core course Artificial Intelligence to delve deeper into this topic. The course covers advanced methods for effective plan generation. A special emphasis lies on techniques supporting trust in learned action policies, through methods such as verification, testing, and explanation.

The students will gain a deep understanding of algorithms used in AI Planning, encompassing both symbolic methods, data-driven methods, and combinations thereof. Many of the algorithms and methodologies are generic and are relevant also in other CS sub-areas in which large transition systems need to be analyzed.

Prerequisites. Successful participation in the core course Artificial Intelligence is strongly recommended.

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