activity
20122022
most citedMulti-agent Inverse Reinforcement Learning for Two-person Zero-sum Games

68 citations · 204 across the 19 of their papers we have counts for

collaborators

19 papers

cs.LG2022★ 1 cited

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain

Lanxiao Huang, Tyler Cody, Christopher Redino +8

Reinforcement learning (RL) operating on attack graphs leveraging cyber terrain principles are used to develop reward and state associated with determination of surveillance detect…

cs.AI2022

Core and Periphery as Closed-System Precepts for Engineering General Intelligence

Tyler Cody, Niloofar Shadab, Alejandro Salado +1

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…

cs.MA2022★ 2 cited

BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations

Henning S Mortveit, Stephen Adams, Faraz Dadgostari +2

In this paper, we present BESSIE (Behavior and Epidemic Simulator for Synthetic Information Environments), an open source, agent-based simulator for COVID-type epidemics. BESSIE us…

cs.CR2022

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs

Tyler Cody, Abdul Rahman, Christopher Redino +7

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 exfiltrati…

cs.LG2021

Inverse Reinforcement Learning for Strategy Identification

Mark Rucker, Stephen Adams, Roy Hayes +1

In adversarial environments, one side could gain an advantage by identifying the opponent's strategy. For example, in combat games, if an opponents strategy is identified as overly…

cs.LG2021★ 3 cited

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…