5 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
Leveraging Action Relational Structures for Integrated Learning and Planning
Ryan Xiao Wang, Felipe Trevizan
Recent advances in planning have explored using learning methods to help planning. However, little attention has been given to adapting search algorithms to work better with learni…
Graph Learning for Planning: The Story Thus Far and Open Challenges
Dillon Z. Chen, Mingyu Hao, Sylvie Thiébaux +1
Graph learning is naturally well suited for use in planning due to its ability to exploit relational structures exhibited in planning domains and to take as input planning instance…
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux
Current approaches for learning for planning have yet to achieve competitive performance against classical planners in several domains, and have poor overall performance. In this w…