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- W2742450537 abstract "Machine learning (ML) is increasingly being applied to a wide array of domains from search engines to autonomous vehicles. These algorithms, however, are notoriously complex and hard to verify. This work looks at the assumptions underlying machine learning algorithms as well as some of the challenges in trying to verify ML algorithms. Furthermore, we focus on the specific challenges of verifying reinforcement learning algorithms. These are highlighted using a specific example. Ultimately, we do not offer a solution to the complex problem of ML verification, but point out possible approaches for verification and interesting research opportunities." @default.
- W2742450537 created "2017-08-17" @default.
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- W2742450537 date "2017-06-01" @default.
- W2742450537 modified "2023-09-27" @default.
- W2742450537 title "Challenges in the Verification of Reinforcement Learning Algorithms" @default.
- W2742450537 hasPublicationYear "2017" @default.
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