19 citations · 52 across the 12 of their papers we have counts for
6 papers · 1 filter
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold +1
For safely applying reinforcement learning algorithms on high-dimensional nonlinear dynamical systems, a simplified system model is used to formulate a safe reinforcement learning…
Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances
C. Li, Y. Wang, F. Liu +1
An off policy reinforcement learning based control strategy is developed for the optimal tracking control problem to achieve the prescribed performance of full states during the le…
Distributed Link Removal Strategy for Networked Meta-Population Epidemics and its Application to the Control of the COVID-19 Pandemic
Fangzhou Liu, Yuhong Chen, Tong Liu +3
In this paper, we investigate the distributed link removal strategy for networked meta-population epidemics. In particular, a deterministic networked susceptible-infected-recovered…
Off-Policy Risk-Sensitive Reinforcement Learning Based Constrained Robust Optimal Control
Cong Li, Qingchen Liu, Zhehua Zhou +2
This paper proposes an off-policy risk-sensitive reinforcement learning based control framework for stabilization of a continuous-time nonlinear system that subjects to additive di…
Interplay Between Homophily-Based Appraisal Dynamics and Influence-Based Opinion Dynamics: Modeling and Analysis
Fangzhou Liu, Shaoxuan Cui, Wenjun Mei +2
In social systems, the evolution of interpersonal appraisals and individual opinions are not independent processes but intertwine with each other. Despite extensive studies on both…
On the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model
Fangzhou Liu, Shaoxuan Cui, Xianwei Li +1
Networked epidemic models have been widely adopted to describe propagation phenomena. The endemic equilibrium of these models is of great significance in the field of viral marketi…