CPC G06F 30/33 (2020.01) [G06N 3/08 (2013.01)] | 20 Claims |
1. A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block, the method comprising:
inputting a test vector to the circuit block;
generating at least one reward according to a change in a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector; and
applying the at least one reward to a reinforcement learning.
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