activity
20182022
most citedMulti-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem

14 citations · 27 across the 8 of their papers we have counts for

collaborators

11 papers

math.NA20221 cited

Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations

Yalchin Efendiev, Wing Tat Leung, Wenyuan Li +2

In this paper, we consider a class of convection-diffusion equations with memory effects. These equations arise as a result of homogenization or upscaling of linear transport equat…

math.NA2021

A Multiscale Method for the Heterogeneous Signorini Problem

Xin Su, Sai-Mang Pun

In this paper, we develop a multiscale method for solving the Signorini problem with a heterogeneous field. The Signorini problem is encountered in many applications, such as hydro…

math.NA20211 cited

Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media

Jiuhua Hu, Wing Tat Leung, Eric Chung +2

In this paper, we consider a parabolic problem with time-dependent heterogeneous coefficients. Many applied problems have coupled space and time heterogeneities. Their homogenizati…

math.NA20219 cited

Computational multiscale methods for parabolic wave approximations in heterogeneous media

Eric Chung, Yalchin Efendiev, Sai-Mang Pun +1

In this paper, we develop a computational multiscale to solve the parabolic wave approximation with heterogeneous and variable media. Parabolic wave approximation is a technique to…

math.NA20211 cited

Online adaptive algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method

Sai-Mang Pun, Siu Wun Cheung

In this research, we propose an online basis enrichment strategy within the framework of a recently developed constraint energy minimizing generalized multiscale discontinuous Gale…

cs.LG202014 cited

Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem

Eric Chung, Yalchin Efendiev, Wing Tat Leung +2

In this work, we propose a multi-agent actor-critic reinforcement learning (RL) algorithm to accelerate the multi-level Monte Carlo Markov Chain (MCMC) sampling algorithms. The pol…