5 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…