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pro vyhledávání: '"Menzies, Ryan"'
In previous work, the IPMSRL environment (Integrated Platform Management System Reinforcement Learning environment) was developed with the aim of training defensive RL agents in a simulator representing a subset of an IPMS on a maritime vessel under
Externí odkaz:
http://arxiv.org/abs/2409.10563
Autor:
Wilson, Alec, Menzies, Ryan, Morarji, Neela, Foster, David, Mont, Marco Casassa, Turkbeyler, Esin, Gralewski, Lisa
Publikováno v:
Proceedings of the Conference on Applied Machine Learning in Information Security 2023 (CAMLIS), Arlington VA, USA, October 19-20, 2023, CEUR-WS.org, online CEUR-WS.org/Vol-3652/paper3.pdf
This paper demonstrates the potential for autonomous cyber defence to be applied on industrial control systems and provides a baseline environment to further explore Multi-Agent Reinforcement Learning's (MARL) application to this problem domain. It i
Externí odkaz:
http://arxiv.org/abs/2401.10149
Autor:
Menzies, Ryan D. D.
Flows in the s-shaped intake (Royal Aircraft Establishment intake model 2129-M2129) have been simulated and analysed using Computational Fluid Dynamics (CFD). Various flows have been simulated from steady through-flow for validation and verification,
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269499
Autor:
Menzies, Ryan D.D.
Publikováno v:
IndraStra Global.
Flows in the s-shaped intake (Royal Aircraft Establishment intake model 2129-M2129) have been simulated and analysed using Computational Fluid Dynamics (CFD). Various flows have been simulated from steady through-flow for validation and verification,