no code implementations • 16 Nov 2023 • Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter Beling
There is a lack of formalism for some key foundational concepts in systems engineering.
no code implementations • 28 Feb 2023 • Sai Prathyush Katragadda, Tyler Cody, Peter Beling, Laura Freeman
The proposed methods are data-centric, as opposed to model-centric, and through our experiments we show that the inclusion of coverage in active learning leads to sampling data that tends to be the best in transferring to better performing models and has a competitive sampling bias compared to benchmark methods.
no code implementations • 6 Nov 2022 • Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter Beling, Edward Bowen
Reinforcement learning (RL) operating on attack graphs leveraging cyber terrain principles are used to develop reward and state associated with determination of surveillance detection routes (SDR).
no code implementations • 4 Aug 2022 • Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter Beling
Engineering methods are centered around traditional notions of decomposition and recomposition that rely on partitioning the inputs and outputs of components to allow for component-level properties to hold after their composition.
no code implementations • 28 Jan 2022 • Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter Beling, Edward Bowen
Reinforcement learning (RL), in conjunction with attack graphs and cyber terrain, are used to develop reward and state associated with determination of optimal paths for exfiltration of data in enterprise networks.
no code implementations • 21 Jan 2014 • Roy Hayes, Peter Beling, William Scherer
General RTS agents are AI gaming systems that can play any RTS games, defined in the RTS language.