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Found 5 papers, 0 papers with code
Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning
This paper studies a discrete-time mean-variance model based on reinforcement learning.
Combining deep learning and crowdsourcing geo-images to predict housing quality in rural China
Housing quality is an essential proxy for regional wealth, security and health.
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings
This study proposes a novel framework based on Mask R-CNN, named HTMask R-CNN, to extract new and old rural buildings even when the label is scarce.
Deep-Learning-Enabled Inverse Engineering of Multi-Wavelength Invisibility-to-Superscattering Switching with Phase-Change Materials
Inverse design of nanoparticles for desired scattering spectra and dynamic switching between the two opposite scattering anomalies, i. e. superscattering and invisibility, is important in realizing cloaking, sensing and functional devices.
Optics
Optimal Consumption with Reference to Past Spending Maximum
This paper studies the infinite-horizon optimal consumption with a path-dependent reference under exponential utility.
