3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
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…