Abstract: The digital twins (DTs) paradigm creates a virtual replica of a physical artifact that represents its real-world status in a virtual space. When implemented in the Internet of Robotic Things ...
Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
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