Neural rendering-based urban scene reconstruction methods commonly rely on images collected from driving vehicles with cameras facing and moving forward. Although these methods can successfully ...
Abstract: The finite-difference time-domain (FDTD) method is a popular numerical tool for predicting the time evolution of electromagnetic field behavior. The applications of the FDTD method range ...
Abstract: Model-free offline reinforcement learning learns policies from static, pre-collected datasets but often suffers from overestimating the values of out-of-distribution (OOD) data, which leads ...
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