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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Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...