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1 Ergebnisse
1
Demo: Vulnerability Analysis for STL-Guided Safe Reinforcem..:
, In:
2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)
,
Jiang, Shixiong
;
Liu, Mengyu
;
Kong, Fanxin
- p. 400-401 , 2024
Link:
https://doi.org/10.1109/RTAS61025.2024.00042
RT T1 <cTitle>2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)</cTitle>: T1 <Title>Demo: Vulnerability Analysis for STL-Guided Safe Reinforcement Learning in Cyber-Physical Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10568055&Exemplar=1&LAN=DE A1 Jiang, Shixiong A1 Liu, Mengyu A1 Kong, Fanxin YR 2024 SN 2642-7346 K1 Reinforcement learning K1 Cyber-physical systems K1 Real-time systems K1 Safety K1 Sensors K1 Reliability K1 reinforcement learning K1 cyber-physical systems SP 400 OP 401 LK http://dx.doi.org/https://doi.org/10.1109/RTAS61025.2024.00042 DO https://doi.org/10.1109/RTAS61025.2024.00042 SF ELIB - SuUB Bremen
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