Learning Domain-Independent Heuristics for Grounded and Lifted Planning

v1v2 (latest)

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

18 December 2023

Sylvie Thiébaux

Felipe W. Trevizan

ArXiv (abs)PDF HTML

Papers citing "Learning Domain-Independent Heuristics for Grounded and Lifted Planning"

10 / 10 papers shown

Title
Relational GNNs Cannot Learn $C_2$ Features for Planning Dillon Z. Chen 25 0 0 13 Jun 2025
Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance using Reinforcement Learning Irene Brugnara Alessandro Valentini Andrea Micheli 51 0 0 19 May 2025
Learning Efficiency Meets Symmetry Breaking Yingbin Bai Sylvie Thiébaux Felipe Trevizan 71 0 0 28 Apr 2025
Graph Learning for Numeric Planning Dillon Z. Chen Sylvie Thiébaux 116 0 0 08 Jan 2025
PDDLFuse: A Tool for Generating Diverse Planning Domains Vedant Khandelwal Amit Sheth Forest Agostinelli 107 1 0 29 Nov 2024
WLPlan: Relational Features for Symbolic Planning Dillon Z. Chen 93 0 0 01 Nov 2024
Deep Learning for Generalised Planning with Background Knowledge Dillon Z. Chen Rostislav Horčík Gustav Šír 60 1 0 10 Oct 2024
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems Vedant Khandelwal Amit Sheth Forest Agostinelli 81 2 0 01 Jun 2024
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning Dillon Z. Chen Felipe W. Trevizan Sylvie Thiébaux VLM 66 9 0 25 Mar 2024
Choosing a Classical Planner with Graph Neural Networks Jana Vatter R. Mayer Hans-Arno Jacobsen Horst Samulowitz Michael Katz 42 0 0 25 Jan 2024