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The DEUCE project aims to enhance reinforcement learning by developing innovative verification methods that ensure safe and correct behavior in complex environments. It addresses challenges like high-dimensional state spaces and uncertainty in real-world applications, enabling more reliable deployment of reinforcement…
Reinforcement learning (RL) agents learn to behave optimally via trial and error, without the need to encode complicated behavior explicitly.
However, RL generally lacks mechanisms to constantly ensure correct behavior regarding sophisticated task and safety specifications.Formal verification (FV), and in particular model checking, provides formal guarantees on a system's correctness based on rigorous methods and precise specifications.
Despite active development by researchers from all over the…
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STICHTING RADBOUD UNIVERSITEIT
Netherlands, Nijmegen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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