differential evolution 1high-dimensional optimization 1hyperellipsoid density sampling 1quasi-monte carlo 1sampling methods 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning
Julian G. Soltes
This paper explores the efficacy of quasi-Monte Carlo (QMC) weight initialization for meta-reinforcement learning within modern benchmark environments. Various sampling methods are…
math.NA2026
Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization
Julian G. Soltes
The paper introduces Hyperellipsoid Density Sampling (HDS), a non‑uniform sampling technique that places hyperellipsoids in the search space to focus on promising regions and speed…
math.OC2026
QUASAR: An Evolutionary Algorithm to Accelerate High-Dimensional Numerical Optimization
Julian G. Soltes
High-dimensional numerical optimization presents a persistent challenge in computational science. This paper introduces Quasi-Adaptive Search with Asymptotic Reinitialization (QUAS…