domingo 08 de marzo del 2026

Autopentest-drl Link

This is the hardest part. A naive reward (+1 per open port) leads to scanning loops. A sparse reward (+100 only for root) leads to no learning. Effective Autopentest-DRL uses :

Legal, Policy, and Compliance Issues in Using AI for Security autopentest-drl

# Reset the environment obs = env.reset() done = False rewards = 0.0 This is the hardest part