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# This CITATION.cff file was generated with cffinit. | ||
# Visit https://bit.ly/cffinit to generate yours today! | ||
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cff-version: 1.2.0 | ||
title: SwarmRL | ||
message: >- | ||
If you use this software, please cite it using the | ||
metadata from this file. | ||
type: software | ||
authors: | ||
- given-names: Samuel | ||
family-names: Tovey | ||
email: stovey@icp.uni-stuttgart.de | ||
affiliation: University of Stuttgart | ||
orcid: 'https://orcid.org/0000-0001-9537-8361' | ||
- given-names: Konstantin | ||
family-names: Nikolaou | ||
email: knikolaou@icp.uni-stuttgart.de | ||
affiliation: University of Stuttgart | ||
orcid: 'https://orcid.org/0009-0000-9926-680X' | ||
# identifiers: | ||
# - type: doi | ||
# value: 10.48550/arXiv.2307.00994 | ||
repository-code: 'https://github.com/zincware/ZnNL' | ||
abstract: >- | ||
Zinware package for Neural Learning (ZnNL) is a Python package for studying the | ||
fundamental nature of learning in neural networks. It is designed to be a flexible and | ||
extensible platform for investigating the theoretical aspects of learning. | ||
keywords: | ||
- Neural Networks | ||
- Machine Learning | ||
- Theory of Learning |