18 citations · 38 across the 16 of their papers we have counts for
5 papers · 1 filter
Mesarovician Abstract Learning Systems
Tyler Cody
The solution methods used to realize artificial general intelligence (AGI) may not contain the formalism needed to adequately model and characterize AGI. In particular, current app…
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs
Rohit Gangupantulu, Tyler Cody, Abdul Rahman +3
Cyber attacks pose existential threats to nations and enterprises. Current practice favors piece-wise analysis using threat-models in the stead of rigorous cyber terrain analysis a…
Using Cyber Terrain in Reinforcement Learning for Penetration Testing
Rohit Gangupantulu, Tyler Cody, Paul Park +4
Reinforcement learning (RL) has been applied to attack graphs for penetration testing, however, trained agents do not reflect reality because the attack graphs lack operational nua…
A Systems Theory of Transfer Learning
Tyler Cody, Peter A. Beling
Existing frameworks for transfer learning are incomplete from a systems theoretic perspective. They place emphasis on notions of domain and task, and neglect notions of structure a…
Empirically Measuring Transfer Distance for System Design and Operation
Tyler Cody, Stephen Adams, Peter A. Beling
Classical machine learning approaches are sensitive to non-stationarity. Transfer learning can address non-stationarity by sharing knowledge from one system to another, however, in…