We study the off-dynamics offline reinforcement learning (RL) problem, where the goal is to learn a policy from offline datasets collected from source and target domains with mismatched transition ...
Abstract: This article studies the pursuit–evasion game involving nonholonomic vehicles constrained by input saturation, aiming for the pursuer to intercept an evasive opponent. Unlike the previous ...
Abstract: As CMOS technology continues to scale, the associated reduction in device reliability margins has made accurate reliability evaluation a critical component of digital circuit design.
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