Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security

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

Skyrmionic division

Autor: Kind, Charles, Foster, David

Magnetic skyrmions and skyrmion bags are nano-scale spin textures whose stability, size and ease of manipulation make them strong contenders for next generation data and logic applications. Skyrmion bags are composite skyrmions of any integer topolog

Externí odkaz: http://arxiv.org/abs/2207.07337

A study of the instantaneous centers of velocity for 1-dof and 2-dof planar linkages

Autor: Foster, David E., Pennock, Gordon R.

Publikováno v: In Mechanism and Machine Theory July 2024 197

Iterative Symbolic Regression for Learning Transport Equations

Autor: Ansari, Mehrad, Gandhi, Heta A., Foster, David G., White, Andrew D.

Computational fluid dynamics (CFD) analysis is widely used in engineering. Although CFD calculations are accurate, the computational cost associated with complex systems makes it difficult to obtain empirical equations between system variables. Here

Externí odkaz: http://arxiv.org/abs/2108.03293

Historical Conceptions of the Express Trust, c 1600–1900

Autor: Foster, David, author

Publikováno v: Philosophical Foundations of the Law of Express Trusts, 2023.

Externí odkaz: https://doi.org/10.1093/oso/9780192844934.003.0006