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Return to Tradition: Learning Reliable Heuristics with Classical Machine
Learning

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning

25 March 2024

Felipe W. Trevizan

Sylvie Thiébaux

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Papers citing "Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning"

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Title
Learning Admissible Heuristics for A*: Theory and Practice Ehsan Futuhi Nathan R. Sturtevant 100 0 0 26 Sep 2025
Symmetry-Invariant Novelty Heuristics via Unsupervised Weisfeiler-Leman Features Dillon Z. Chen 44 0 0 25 Aug 2025
Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies Dillon Z. Chen Johannes Zenn Tristan Cinquin Sheila A. McIlraith 112 2 0 25 Aug 2025
Scaling Multi-Agent Epistemic Planning through GNN-Derived Heuristics Giovanni Briglia Francesco Fabiano S. Mariani 95 0 0 18 Aug 2025
Symmetry-Aware Transformer Training for Automated Planning Markus Fritzsche Elliot Gestrin Jendrik Seipp 126 0 0 11 Aug 2025
Relational GNNs Cannot Learn $C_2$ Features for Planning Dillon Z. Chen 108 0 0 13 Jun 2025
Leveraging Action Relational Structures for Integrated Learning and PlanningProceedings of the ... International Conference on Automated Planning and Scheduling (ICAPS), 2025 Ryan Xiao Wang Felipe Trevizan 156 3 0 29 Apr 2025
Learning Efficiency Meets Symmetry BreakingProceedings of the ... International Conference on Automated Planning and Scheduling (ICAPS), 2025 Yingbin Bai Sylvie Thiébaux Felipe Trevizan 171 0 0 28 Apr 2025
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code Augusto B. Correa André G. Pereira Jendrik Seipp LLMAG LM&Ro LRM 156 10 0 24 Mar 2025
Graph Learning for Numeric PlanningNeural Information Processing Systems (NeurIPS), 2024 Dillon Z. Chen Sylvie Thiébaux 385 3 0 08 Jan 2025