Record link: 
http://hdl.handle.net/20.500.12708/200782
https://doi.org/10.34727/2024/isbn.978-3-85448-065-5_15
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Title: 
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
en
Citation: 
Mandal, U., Amir, G., Wu, H., Daukantas, I., Newell, F. L., Ravaioli, U. J., Meng, B., Durling, M., Ganai, M., Shim, T., Katz, G., & Barrett, C. (2024). Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates. In N. Narodytska & P. Rümmer (Eds.), Proceedings of the 24th Conference on Formal Methods in Computer-Aided Design – FMCAD 2024 (pp. 95–106). TU Wien Academic Press. https://doi.org/10.34727/2024/isbn.978-3-85448-065-5_15
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reposiTUm DOI: 
10.34727/2024/isbn.978-3-85448-065-5_15
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CatalogPlus: 
AC17313135
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Mandal, Udayan 
Amir, Guy 
Wu, Haoze 
Daukantas, Ieva 
Newell, Fletcher Lee 
Ravaioli, Umberto J. 
Meng, Baoluo 
Durling, Michael 
Ganai, Milan 
Shim, Tobey 
Katz, Guy 
Barrett, Clark 
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Editors: 
Narodytska, Nina 
Rümmer, Philipp 
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Organisational Unit: 
E000 - Technische Universität Wien 
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Series: 
Conference Series: Formal Methods in Computer-Aided Design 
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Published in: 
Proceedings of the 24th Conference on Formal Methods in Computer-Aided Design – FMCAD 2024 
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ISBN: 
978-3-85448-065-5
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Date (published): 
Oct-2024
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Number of Pages: 
12
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Publisher: 
TU Wien Academic Press
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Peer reviewed: 
Yes
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Keywords: 
formale Methoden
de
 
formal methods
en
Research Areas: 
Logic and Computation: 40%
Computer Engineering and Software-Intensive Systems: 40%
Computer Science Foundations: 20%
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Science Branch: 
1020 - Informatik: 100%
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License: 
CC BY 4.0 CC BY 4.0
de
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Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
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