6 citations · 11 across the 14 of their papers we have counts for
7 papers · 1 filter
AI Planning: A Primer and Survey (Preliminary Report)
Dillon Z. Chen, Pulkit Verma, Siddharth Srivastava +2
Automated decision-making is a fundamental topic that spans multiple sub-disciplines in AI: reinforcement learning (RL), AI planning (AP), foundation models, and operations researc…
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…
WLPlan: Relational Features for Symbolic Planning
Dillon Z. Chen
Scalable learning for planning research generally involves juggling between different programming languages for handling learning and planning modules effectively. Interpreted lang…
Deep Learning for Generalised Planning with Background Knowledge
Dillon Z. Chen, Rostislav Horčík, Gustav Šír
Automated planning is a form of declarative problem solving which has recently drawn attention from the machine learning (ML) community. ML has been applied to planning either as a…
Graph Learning for Numeric Planning
Dillon Z. Chen, Sylvie Thiébaux
Graph learning is naturally well suited for use in symbolic, object-centric planning due to its ability to exploit relational structures exhibited in planning domains and to take a…
Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning
Dillon Z. Chen, Sylvie Thiébaux
Heuristic search is a powerful approach for solving planning problems and numeric planning is no exception. In this paper, we boost the performance of heuristic search for numeric…
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…