Enabling A Network AI Gym for Autonomous Cyber Agents

no code implementations • 3 Apr 2023 • Li Li, Jean-Pierre S. El Rami, Adrian Taylor, James Hailing Rao, Thomas Kunz

This work aims to enable autonomous agents for network cyber operations (CyOps) by applying reinforcement and deep reinforcement learning (RL/DRL).

Offline RL Reinforcement Learning (RL)

Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents

no code implementations • 3 Apr 2023 • Li Li, Jean-Pierre S. El Rami, Adrian Taylor, James Hailing Rao, Thomas Kunz

This work presents a systematic solution to automatically generate a high-fidelity simulator in the Cyber Gym for Intelligent Learning (CyGIL).

Offline RL Reinforcement Learning (RL) +1

CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems

no code implementations • 7 Sep 2021 • Li Li, Raed Fayad, Adrian Taylor

Given the success of reinforcement learning (RL) in various domains, it is promising to explore the application of its methods to the development of intelligent and autonomous cyber agents.

Reinforcement Learning (RL)