yyzpiero

EVO-PopulationBasedTraining

Population-Based Training (PBT) for Reinforcement Learning using Message Passing Interface (MPI)

RL4RedTeam

A PPO agent leveraging reinforcement learning performs Penetration Testing in a simulated computer network environment. The agent is trained to scan for vulnerabilities in the network and exploit them to gain access to various network resources.

auto-pentesting-vm-range

AsynRL

Wrapped asynchronous PPO implementation (Co-op with Zhejiang)

AutomaticCyberOperations

NetworkAttackSimulator

A environment for testing AI agents against a simulated Network. + Configurable Networks

RL-4-PenTest

rnn_multistep_ahead_forecasting

Code in Python for my blog post on implementing time series multi-step ahead forecasts using recurrent neural networks in TensorFlow.

TyporaImg

Markdown Images

yyzpiero.github.io