Summary of "A lazy approach to neural numerical planning with control parameters"
Publication date
2024-11-26
Document type
Meeting Abstract
Author
Organisational unit
Scopus ID
Conference
35th International Conference on Principles of Diagnosis and Resilient Systems (DX 2024) ; Vienna, Austria ; November 4–7, 2024
Publisher
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Series or journal
Open Access Series in Informatics
ISSN
Periodical volume
125
Book title
35th International Conference on Principles of Diagnosis and Resilient Systems
First page
32:1
Last page
32:3
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Neural networks
Neural numerical planning with control parameters
Satisfiability Modulo Theory
dtec.bw
Abstract
This is an extended abstract of the manuscript "A Lazy Approach to Neural Numerical Planning with Control Parameters". The paper presents a lazy, hierarchical approach to tackle the challenge of planning in complex numerical domains, where the effects of actions are influenced by control parameters, and may be described by neural networks.
Description
This article is published under the terms of the Creative Commons Attribution 4.0 International license (CC BY 4.0): https://creativecommons.org/licenses/by/4.0/legalcode
Version
Published version
Access right on openHSU
Metadata only access