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Safe and Reliable Training of Learning-Based Aerospace Controllers

By Udayan Mandal and others
In recent years, deep reinforcement learning (DRL) approaches have generated highly successful controllers for a myriad of complex domains. However, the opaque nature of these models limits their applicability in aerospace systems and safety-critical domains, in which a single mistake can have dire consequences. In this paper, we present novel... Show more
July 9, 2024
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Safe and Reliable Training of Learning-Based Aerospace Controllers
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