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20202023
most citedChallenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach

85 citations · 90 across the 4 of their papers we have counts for

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cs.LG2020★ 3 cited

EVO-RL: Evolutionary-Driven Reinforcement Learning

Ahmed Hallawa, Thorsten Born, Anke Schmeink +6

In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL…