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: “Edge Intelligence” or “Edge AI” is a topic created by combining Edge Computing (EC) and Artificial Intelligence. By utilizing the edge resources which are extensively available, edge ...

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