Learning Domain-Independent Heuristics for Grounded and Lifted Planning

18 December 2023

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

10 / 10 papers shown

Title
Learning Efficiency Meets Symmetry Breaking Yingbin Bai Sylvie Thiébaux Felipe Trevizan 32 0 0 28 Apr 2025
Graph Learning for Numeric Planning Dillon Z. Chen Sylvie Thiébaux 42 0 0 08 Jan 2025
PDDLFuse: A Tool for Generating Diverse Planning Domains Vedant Khandelwal Amit Sheth Forest Agostinelli 61 1 0 29 Nov 2024
WLPlan: Relational Features for Symbolic Planning Dillon Z. Chen 52 0 0 01 Nov 2024
Deep Learning for Generalised Planning with Background Knowledge Dillon Z. Chen Rostislav Horčík Gustav Šír 40 1 0 10 Oct 2024
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems Vedant Khandelwal Amit Sheth Forest Agostinelli 47 2 0 01 Jun 2024
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning Dillon Z. Chen Felipe W. Trevizan Sylvie Thiébaux VLM 38 7 0 25 Mar 2024
Choosing a Classical Planner with Graph Neural Networks Jana Vatter R. Mayer Hans-Arno Jacobsen Horst Samulowitz Michael Katz 16 0 0 25 Jan 2024
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators Clement Gehring Masataro Asai Rohan Chitnis Tom Silver L. Kaelbling Shirin Sohrabi Michael Katz OffRL 40 37 0 30 Sep 2021