Publications

Publications grouped by categories in reversed chronological order. NeurIPS, ICML and ICLR are conferences that focus primarily on statistical and data-driven ML, while AAAI, ICAPS, ECAI are conferences that focus primarily on symbolic and good old-fashioned AI.



Conferences

2026

  1. Satisficing and Optimal Generalised Planning via Goal Regression
    Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, and Sheila A. McIlraith
    In Proceedings of the 40th AAAI Conference on Artificial Intelligence, 2026
    Oral

2025

  1. Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
    Dillon Z. Chen
    In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI), 2025
  2. Effective Data Generation and Feature Selection in Learning for Planning
    Mingyu Hao, Dillon Z. Chen, Felipe Trevizan, and Sylvie Thiébaux
    In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI), 2025
  3. An Operator-Centric Trustable Decision-Making Tool for Planning Ground Logistic Operations of Beluga Aircraft
    Rebecca Eifler, Nika Beriachvili, Arthur Bit-Monnot, Dillon Z. Chen, Jan Eisenhut, and 3 more authors
    In Proceedings of the 28th European Conference on Artificial Intelligence (ECAI), 2025

2024

  1. Graph Learning for Numeric Planning
    Dillon Z. Chen and Sylvie Thiébaux
    In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024
  2. Novelty Heuristics, Multi-Queue Search, and Portfolios for Numeric Planning
    Dillon Z. Chen and Sylvie Thiébaux
    In Proceedings of the 17th International Symposium on Combinatorial Search (SoCS), 2024
  3. Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
    Dillon Z. Chen, Felipe Trevizan, and Sylvie Thiébaux
    In Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS), 2024
  4. Learning Domain-Independent Heuristics for Grounded and Lifted Planning
    Dillon Z. Chen, Sylvie Thiébaux, and Felipe Trevizan
    In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024
    Oral

2023

  1. N-WL: A New Hierarchy of Expressivity for Graph Neural Networks
    Qing Wang, Dillon Z. Chen, Asiri Wijesinghe, Shouheng Li, and Muhammad Farhan
    In Proceedings of the 11th International Conference on Learning Representations (ICLR), 2023
  2. Heuristic Search for Multi-Objective Probabilistic Planning
    Dillon Z. Chen, Felipe Trevizan, and Sylvie Thiébaux
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023
    Oral

2022

  1. The Complexity of Flexible FOND HTN Planning
    Dillon Z. Chen and Pascal Bercher
    In Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS), 2022
    Best Undergraduate Student Paper Award

2021

  1. Fully Observable Nondeterministic HTN Planning – Formalisation and Complexity Results
    Dillon Z. Chen and Pascal Bercher
    In Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS), 2021
    Best Undergraduate Student Paper Award


Workshops

2025

  1. Symmetry-Invariant Novelty Heuristics via Unsupervised Weisfeiler-Leman Features
    Dillon Z. Chen
    In Proceedings of the ICAPS 2025 Workshop on Heuristics and Search for Domain-independent Planning (HSDIP), 2025
  2. Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies
    Dillon Z. Chen, Johannes Zenn, Tristan Cinquin, and Sheila A. McIlraith
    In Proceedings of the RLC 2025 Workshop on Programmatic Reinforcement Learning, and 18th European Workshop on Reinforcement Learning (EWRL), 2025
  3. MOOSE: Satisficing and Optimal Generalised Planning via Goal Regression
    Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, and Sheila A. McIlraith
    In Proceedings of the 1st International Workshop on Trends in Knowledge Representation and Reasoning (TKR), 2025
  4. STRIPS2DyPDL: A Translator from Automated Planning Problems into Domain-Independent Dynamic Programming Problems
    Dillon Z. Chen
    In Proceedings of the 24th Workshop on Constraint Modelling and Reformulation (ModRef), 2025
  5. Graph Learning for Planning: The Story Thus Far and Open Challenges
    Dillon Z. Chen, Mingyu Hao, Sylvie Thiébaux, and Felipe Trevizan
    In Proceedings of the 8th Workshop on Generalization in Planning (GenPlan), 2025
  6. AI Planning: A Primer and Survey (Preliminary Report)
    Dillon Z. Chen, Pulkit Verma, Siddharth Srivastava, Michael Katz, and Sylvie Thiébaux
    In Proceedings of the 8th Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), 2025

2023

  1. GOOSE: Learning Domain-Independent Heuristics
    Dillon Z. Chen, Sylvie Thiébaux, and Felipe Trevizan
    In Proceedings of the 7th Workshop on Generalization in Planning (GenPlan), 2023
  2. Graph Neural Networks and Graph Kernels For Learning Heuristics: Is there a difference?
    Dillon Z. Chen, Felipe Trevizan, and Sylvie Thiébaux
    In Proceedings of the 7th Workshop on Generalization in Planning (GenPlan), 2023

2021

  1. The Complexity of Flexible FOND HTN Planning
    Dillon Z. Chen and Pascal Bercher
    In Proceedings of the 4th ICAPS Workshop on Hierarchical Planning (HPlan), 2021


Theses

2023

  1. GOOSE: Learning Heuristics and Parallelising Search for Grounded and Lifted Planning
    Dillon Z. Chen
    The Australian National University, 2023