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Learning Domain-Independent Heuristics for Grounded and Lifted Planning
v1v2 (latest)

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

18 December 2023
Dillon Z. Chen
Sylvie Thiébaux
Felipe W. Trevizan
    AI4CE
ArXiv (abs)PDFHTML

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
Relational GNNs Cannot Learn C2C_2C2​ Features for Planning
Dillon Z. Chen
23
0
0
13 Jun 2025
Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance using Reinforcement Learning
Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance using Reinforcement Learning
Irene Brugnara
Alessandro Valentini
Andrea Micheli
48
0
0
19 May 2025
Learning Efficiency Meets Symmetry Breaking
Learning Efficiency Meets Symmetry Breaking
Yingbin Bai
Sylvie Thiébaux
Felipe Trevizan
71
0
0
28 Apr 2025
Graph Learning for Numeric Planning
Graph Learning for Numeric Planning
Dillon Z. Chen
Sylvie Thiébaux
116
0
0
08 Jan 2025
PDDLFuse: A Tool for Generating Diverse Planning Domains
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
WLPlan: Relational Features for Symbolic Planning
Dillon Z. Chen
93
0
0
01 Nov 2024
Deep Learning for Generalised Planning with Background Knowledge
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
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
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
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
1