Simplifying Automated Pattern Selection for Planning with Symbolic Pattern Databases

2019 ◽  
pp. 249-263
Author(s):  
Ionut Moraru ◽  
Stefan Edelkamp ◽  
Santiago Franco ◽  
Moises Martinez
Keyword(s):  
Pattern Selection ◽  
Selection For ◽  
Pattern Databases

scholarly journals Pattern Selection for Optimal Classical Planning with Saturated Cost Partitioning

2019 ◽  
Author(s):  
Jendrik Seipp
Keyword(s):  
New Method ◽  
Pattern Selection ◽  
Admissible Heuristics ◽  
Selection For ◽  
Selection Algorithms ◽  
Pattern Databases ◽  
Combining Information

Pattern databases are the foundation of some of the strongest admissible heuristics for optimal classical planning. Experiments showed that the most informative way of combining information from multiple pattern databases is to use saturated cost partitioning. Previous work selected patterns and computed saturated cost partitionings over the resulting pattern database heuristics in two separate steps. We introduce a new method that uses saturated cost partitioning to select patterns and show that it outperforms all existing pattern selection algorithms.

scholarly journals Automatic Gait Pattern Selection for Legged Robots

2020 ◽  
Author(s):  
Jiayi Wang ◽  
Iordanis Chatzinikolaidis ◽  
Carlos Mastalli ◽  
Wouter Wolfslag ◽  
Guiyang Xin ◽  
...  
Keyword(s):  
Gait Pattern ◽  
Legged Robots ◽  
Pattern Selection ◽  
Selection For

Test Pattern Selection for Defect-Aware Test

2011 ◽  
Author(s):  
Yoshinobu Higami ◽  
Hiroshi Furutani ◽  
Takao Sakai ◽  
Shuichi Kameyama ◽  
Hiroshi Takahashi
Keyword(s):  
Test Pattern ◽  
Pattern Selection ◽  
Selection For ◽  
Test Pattern Selection

scholarly journals On pattern selection for laparoscope calibration

2017 ◽  
Author(s):  
Stephen Thompson ◽  
Yannic Meuer ◽  
Eddie Edwards ◽  
João Ramalhinho ◽  
Maria Ruxandra Robu ◽  
...  
Keyword(s):  
Pattern Selection ◽  
Selection For
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