JOURNAL ARTICLE
Merge-and-Shrink Task Reformulation for Classical Planning
Torralba, ÁlvaroSievers, Silvan
Year: 2019 Journal: edoc (University of Basel) Publisher: University of Basel
Keywords:
Task (project management) Action (physics) Key (lock) Context (archaeology) Plan (archaeology)
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.37
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
AI-based Problem Solving and Planning
Physical Sciences → Computer Science → Artificial Intelligence
Logic, Reasoning, and Knowledge
Physical Sciences → Computer Science → Artificial Intelligence
Constraint Satisfaction and Optimization
Physical Sciences → Computer Science → Computer Networks and Communications
Related Documents
JOURNAL ARTICLE
Merge-and-Shrink Task Reformulation for Classical Planning
Year: 2019 Pages: 5644-5652
JOURNAL ARTICLE
Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning
Sievers, SilvanPommerening, FlorianKeller, ThomasHelmert, Malte
Journal: edoc (University of Basel) Year: 2020
JOURNAL ARTICLE
Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning
Silvan SieversFlorian PommereningThomas KellerMalte Helmert
Year: 2020 Pages: 4152-4160
DISSERTATION
Merge-and-shrink abstractions for classical planning : theory, strategies, and implementation
University: edoc (University of Basel) Year: 2017
JOURNAL ARTICLE
Merge-and-Shrink Heuristics for Classical Planning: Efficient Implementation and Partial Abstractions
Journal: edoc (University of Basel) Year: 2018