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[Pwnagotchi](https://pwnagotchi.ai/) is an [A2C](https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752)-based "AI" leveraging [bettercap](https://www.bettercap.org/) that learns from its surrounding WiFi environment to maximize the crackable WPA key material it captures (either passively, or by performing authentication and association attacks). This material is collected as PCAP files containing any form of handshake supported by [hashcat](https://hashcat.net/hashcat/), including [PMKIDs](https://www.evilsocket.net/2019/02/13/Pwning-WiFi-networks-with-bettercap-and-the-PMKID-client-less-attack/),
full and half WPA handshakes.
![ui](https://i.imgur.com/c7xh4hN.png)
![ui](https://i.imgur.com/X68GXrn.png)
Instead of merely playing [Super Mario or Atari games](https://becominghuman.ai/getting-mario-back-into-the-gym-setting-up-super-mario-bros-in-openais-gym-8e39a96c1e41?gi=c4b66c3d5ced) like most reinforcement learning-based "AI" *(yawn)*, Pwnagotchi tunes [its parameters](https://github.com/evilsocket/pwnagotchi/blob/master/pwnagotchi/defaults.yml#L73) over time to **get better at pwning WiFi things to** in the environments you expose it to.