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As we dive into the realm of RL, where autonomous agents learn to make decisions through trial and error, ensuring their safety and reliability becomes paramount. Neural networks serve as the backbone of these agents, learning complex mappings from observations to actions.
Formal verification offers a systematic approach to assessing the behavior of these neural networks. By subjecting them to rigorous mathematical analysis, we can guarantee properties such as safety, stability, and fairness. This becomes especially crucial in high-stakes environments like autonomous vehicles, medical diagnosis systems, and robotics.
Throughout this session, we'll explore how formal verification techniques provide a safety net against unexpected behaviors or vulnerabilities in RL systems.

L'evento inizia alle 18:00, il talk inizia alle 18:30.

Speaker: Luca Marzari
Aula: T04

REGISTRAZIONE:
https://www.eventbrite.it/e/888313057267

Related topics

Events in Verona, VR
Machine Learning
Neural Networks
Innovation
New Technology
Open Source

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