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.OC2025
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…
math.NA2025
Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization
Julian G. Soltes
The curse of dimensionality remains a persistent challenge in modern optimization problems. Expanding the search space into higher dimensions exponentiates the sparsity of uniform…