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References (13)

[1]
Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning
2021Pascal Lauer, Á. Torralba et al.
[2]
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
2020Tom Silver, Rohan Chitnis et al.
[3]
Lifted Successor Generation Using Query Optimization Techniques
2020Augusto B. Corrêa, F. Pommerening et al.
[4]
The Emerging Landscape of Explainable Automated Planning & Decision Making
2020Tathagata Chakraborti, S. Sreedharan et al.
[5]
Learning How to Ground a Plan - Partial Grounding in Classical Planning
2019Daniel Gnad, Á. Torralba et al.
[6]
An Introduction to the Planning Domain Definition Language
2019P. Haslum, N. Lipovetzky et al.
[7]
Focusing on What Really Matters: Irrelevance Pruning in Merge-and-Shrink
2015Á. Torralba, Peter Kissmann
[8]
Safe, Strong, and Tractable Relevance Analysis for Planning
2013P. Haslum, M. Helmert et al.
[9]
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
2010Silvia Richter, Matthias Westphal
[10]
Concise finite-domain representations for PDDL planning tasks
2009M. Helmert
[11]
VAL: automatic plan validation, continuous effects and mixed initiative planning using PDDL
2004Richard Howey, D. Long et al.
[12]
The Metric-FF Planning System: Translating ''Ignoring Delete Lists'' to Numeric State Variables
2003J. Hoffmann
[13]
Ignoring Irrelevant Facts and Operators in Plan Generation
1997Bernhard Nebel, Yannis Dimopoulos et al.

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