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Reinforcement Learning for Autonomous Cyber Defense


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There has been a surge in open source tools for developing reinforcement learning-based autonomous cyber defense. This talk will walk through, 1) why attendees should be interested in this emerging field, 2) how to use these tools, 3) how to extend them for tailored applications, 4) how to evaluate performance claims, and 5) what it will take to have fully autonomous AI defenses in the future.

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Participants
Krystal Jackson

Speaker

Junior AI Fellow, CyberAI Project, Center for Security and Emerging Technology

Andrew Lohn

Speaker

Senior Fellow, Georgetown University


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