evilsocket/pwnagotchi
An A2C-based agent that uses deep reinforcement learning to autonomously optimize WiFi handshake capture for WPA security testing.

Pwnagotchi is an autonomous WiFi auditing device that employs Advantage Actor-Critic reinforcement learning to learn from its environment and maximize WPA key material capture. It instruments bettercap to perform passive or active attacks (PMKID clientless, association attacks) against nearby networks, collecting handshakes as PCAP files for offline cracking. The agent learns optimal strategies for timing and targeting based on historical success.