Sketch Decompositions for Classical Planning via Deep Reinforcement Learning (Code & Data)

Implementation and experiment data of the model described in the paper "Sketch Decompositions for Classical Planning via Deep Reinforcement Learning" published at IJCAI 2025.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-10
DOI
https://doi.org/10.5281/zenodo.15614893
Primary Topic
Molecular Junctions and Nanostructures
Type
article
Field-Weighted Citation Impact
0.00
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article

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning (Code & Data)

Zenodo (CERN European Organization for Nuclear Research)
Molecular Junctions and Nanostructures
article

Sketch Decompositions for Classical Planning via Deep Reinforcement Learning (Code & Data)

article en

Abstract

Implementation and experiment data of the model described in the paper "Sketch Decompositions for Classical Planning via Deep Reinforcement Learning" published at IJCAI 2025.

Zenodo (CERN European Organization for Nuclear Research)
RWTH Aachen University (DE)
Sustainable cities and communities
Openalex Percentile: Top 55%
Molecular Junctions and Nanostructures
DOIOpen Access PDFOpenAlex
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Sketch Decompositions for Classical Planning via Deep Reinforcement Learning (Code & Data) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS