RESEARCH

Deep reinforcement learning for optimal design of compliant mechanisms based on digitized cell structures

Global existence versus finite time blowup dichotomy for the dispersion managed NLS

Universal embedding for pre-trained models and data bench

Largest unit rectangles inscribed in a convex polygon

Minimum Convex Hull and Maximum Overlap of Two Convex Polytopes

Estimating the distribution of parameters in differential equations with repeated cross-sectional data

Stochastic-Constrained Stochastic Optimization with Markovian Data

An adaptive dual-level reinforcement learning approach for optimal trade execution