Extending SymbolicPlanners with forward propagation landmark extraction

Bachelor Thesis (2024)
Author(s)

K.F. Yang (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

I.K. Hanou – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

S. Dumančić – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

L. Miranda da Cruz – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
01-02-2024
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

The Fast Downward planning system is currently mainly used for solving classical problems. Another alternative to Fast Downward is SymbolicPlanners, which sacrifices speed for generality and extensibility. SymbolicPlanners is missing landmark based planners and landmark extraction algorithms. The research question we are trying to answer in this research paper is: What design choices can be made to adapt the forward propagation extraction algorithm into SymbolicPlanners?
The forward propagation landmark generation design choices are discussed and implemented in SymbolicPlanners. The runtime performance of the implementation is only about two times slower than the Fast Downward implementation. Another aspect of the implementation is the incorrect amount of landmarks generated in complex problems caused by limitation in the relaxed planning graph from SymbolicPlanners.

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