People may wish to change their personalities, but according to new research showing the benefits of self-acceptance, this ...
When students are asked to remember and explain relevant knowledge just before applying it, they arrive at a more concrete ...
Since labeled samples are typically scarce in real-world scenarios, self-supervised representation learning in time series is critical. Existing approaches mainly employ the contrastive learning ...
AI tools can help EFL students build confidence in academic speaking by offering structured practice opportunities, ...
This project provides an interface for reinforcement learning(RL)-based control of functional mock-up units (FMUs) under uncertainties. The interface is designed to be compatible with the Functional ...
Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
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