8 papers
Approximate Simulation-Based Verification of Compatibility of the Friedkin-Johnsen Model with Binary Observations
Yu Xing, Aneesh Raghavan, Michael T. Schaub +1
We consider a verification problem for opinion dynamics based on binary observations. The opinion dynamics is governed by a Friedkin-Johnsen (FJ) model, where only a sequence of bi…
Quantized Distributed Estimation with Event-triggered Communication and Packet Loss
Ying Wang, Yanlong Zhao, Ji-Feng Zhang +1
This paper focuses on the problem of quantized distributed estimation with event-triggered communication and packet loss, aiming to reduce the number of transmitted bits. The main…
Adding links wisely: how an influencer seeks for leadership in opinion dynamics?
Lingfei Wang, Yu Xing, Yuhao Yi +2
This paper investigates the problem of leadership development for an external influencer using the Friedkin-Johnsen (FJ) opinion dynamics model, where the influencer is modeled as…
Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization
Peihu Duan, Tao Liu, Yu Xing +1
This paper investigates the state estimation problem for unknown linear systems subject to both process and measurement noise. Based on a prior input-output trajectory sampled at a…
Explainable Reinforcement Learning via Temporal Policy Decomposition
Franco Ruggeri, Alessio Russo, Rafia Inam +1
We investigate the explainability of Reinforcement Learning (RL) policies from a temporal perspective, focusing on the sequence of future outcomes associated with individual action…
Learning Communities from Equilibria of Nonlinear Opinion Dynamics
Yu Xing, Anastasia Bizyaeva, Karl H. Johansson
This paper studies community detection for a nonlinear opinion dynamics model from its equilibria. It is assumed that the underlying network is generated from a stochastic block mo…