About this document
Pengym: Pentesting Training Framework For Reinforcement Learning Agents by Skad Alpha is a document available to read on EtoBox.
PenGym is a framework designed to train reinforcement learning (RL) agents for penetration testing in real network environments, addressing the limitations of traditional simulation-based training. It allows agents to execute real pentesting actions, providing more accurate representations of the pentesting process and yielding better results compared to simulation environments. Experimental results indicate that RL agents trained with PenGym require fewer steps to achieve pentesting goals than those traine
- Author
- Skad Alpha
- Language
- EN