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We present how the PAC bounds that apply to Boolean conjunctions can be used to sure the number of random tests required to ensure (subject to PAC parameters) Relevant Coverage. We start in Section 4.1 by formalizing the connection between Inference Adequacy and PAC studying. In Section four what is random testing.2 we show how [...]
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What is Neural-Symbolic Integration? by Gustav Šír Deep reinforcement learning (DRL) brings the power of deep neural networks to bear on the generic task of trial-and-error learning, and its effectiveness has been convincingly demonstrated on tasks such as Atari video games and the game of Go. However, contemporary what is symbolic ai DRL systems inherit [...]