Abstract: Despite recent progress in solving the state estimation problem, its real-time performance remains challenged by the presence of bad data, increasing computational demands for detection and ...
Abstract: In this work, we propose a deep reinforcement learning (DRL) framework called Pin-opt, designed to create a reusable solver capable of optimizing pin assignment to minimize signal integrity ...
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