3 citations · 4 across the 6 of their papers we have counts for
6 papers
A Multiagent CyberBattleSim for RL Cyber Operation Agents
Thomas Kunz, Christian Fisher, James La Novara-Gsell +2
Hardening cyber physical assets is both crucial and labor-intensive. Recently, Machine Learning (ML) in general and Reinforcement Learning RL) more specifically has shown great pro…
Enabling A Network AI Gym for Autonomous Cyber Agents
Li Li, Jean-Pierre S. El Rami, Adrian Taylor +2
This work aims to enable autonomous agents for network cyber operations (CyOps) by applying reinforcement and deep reinforcement learning (RL/DRL). The required RL training environ…
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
Li Li, Jean-Pierre S. El Rami, Adrian Taylor +2
Autonomous cyber agents may be developed by applying reinforcement and deep reinforcement learning (RL/DRL), where agents are trained in a representative environment. The training…
A Unified Residential Energy Cost Optimization Model for Smart Grid - Significance and Challenge
Muhammad Raisul Alam, Marc St-Hilaire, Thomas Kunz
This article addresses the residential energy cost optimization problem in smart grid. To date, most of the previous research only consider a partial aspect of the cost optimizatio…
Energy-Efficient Broadcasting for Cross Wireless Ad-Hoc Networks
Mohammad R. Ataei, Amir H. Banihashemi, Thomas Kunz
In this paper, we propose solutions for the energy-efficient broadcasting over cross networks, where N nodes are located on two perpendicular lines. Our solutions consist of an alg…
Low-Complexity Energy-Efficient Broadcasting in One-Dimensional Wireless Networks
Mohammad R. Ataei, Amir H. Banihashemi, Thomas Kunz
In this paper, we investigate the transmission range assignment for N wireless nodes located on a line (a linear wireless network) for broadcasting data from one specific node to a…