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20182022
most citedSpatial-Temporal Deep Intention Destination Networks for Online Travel Planning

2 citations · 6 across the 8 of their papers we have counts for

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6 papers · 1 filter

math.OC20221 cited

Sampling-Based Optimization for Multi-Agent Model Predictive Control

Ziyi Wang, Augustinos D. Saravanos, Hassan Almubarak +2

We systematically review the Variational Optimization, Variational Inference and Stochastic Search perspectives on sampling-based dynamic optimization and discuss their connections…

math.OC2022

Opinion Dynamics Steering using Stochastic Search

Ziyi Wang, Evangelos A. Theodorou

In this paper, we apply the stochastic search dynamic optimization framework for steering opinion dynamics in a partially active population. The framework is grounded on stochastic…

math.OC2020

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search

Ziyi Wang, Oswin So, Keuntaek Lee +2

We present a general framework for optimizing the Conditional Value-at-Risk for dynamical systems using stochastic search. The framework is capable of handling the uncertainty from…

math.OC2019

Constrained Sampling-based Trajectory Optimization using Stochastic Approximation

George I. Boutselis, Ziyi Wang, Evangelos A. Theodorou

We propose a sampling-based trajectory optimization methodology for constrained problems. We extend recent works on stochastic search to deal with box control constraints,as well a…

math.OC20192 cited

Deep Forward-Backward SDEs for Min-max Control

Ziyi Wang, Keuntaek Lee, Marcus A. Pereira +2

This paper presents a novel approach to numerically solve stochastic differential games for nonlinear systems. The proposed approach relies on the nonlinear Feynman-Kac theorem tha…

math.OC2018

Information Theoretic Model Predictive Control on Jump Diffusion Processes

Ziyi Wang, Grady Williams, Evangelos A. Theodorou

In this paper we present an information theoretic approach to stochastic optimal control problems for systems with compound Poisson noise. We generalize previous work on informatio…