Results 111 to 120 of about 2,702 (215)

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

On the Exact Limiting Distribution of a Volatility Target Index

open access: yesMathematical Finance, EarlyView.
ABSTRACT Assuming a lognormal distribution for the underlying risky asset, we study the limiting distribution of a volatility target index as the rebalancing time step approaches zero. Two limit theorems (a strong law of large numbers and a central limit theorem) are established, and as an application, the exact limiting distribution is derived.
Xuan Liu, Michel Gauthier
wiley   +1 more source

Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model. [PDF]

open access: yesDiscov Nano
Reddisekhar Reddy SR   +5 more
europepmc   +1 more source

Stochastic Galerkin and Monte Carlo Methods for Parabolic Problems: Numerical Performance of Variational Matrix‐Free Approximations

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Stochastic Galerkin methods offer unexplored potential for the numerical simulation of parabolic problems with random variables, in particular if they are combined with variational discretizations of the space and time variables. Due to the high dimensionality, the solution of the arising algebraic systems do not become feasible without ...
Moataz Dawor   +2 more
wiley   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 4, Page 1972-1982, October 2026.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu   +9 more
wiley   +1 more source

Toward Safer and Sustainable Lithium Metal Batteries: Fluorine‐Free Solid Polymer Electrolytes

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 5, September 2026.
An analysis to assess the impact of fluorine in polymer electrolyte‐based lithium metal batteries has been conducted. It has been demonstrated that fluorine‐free LiTIM salt delivers a electrochemical performance similar to that of its fluorinated analogue salts, given the complete lithium dissociation in coordination with PEO and the restricted anion ...
David Fraile‐Insagurbe   +10 more
wiley   +1 more source

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