82 citations · 419 across the 63 of their papers we have counts for
76 papers
Optimal Strategies in a Sequential Contest with Failures
Alec Pannunzio, Ashley Shaffer, Gregory Shaver +1
We study a Stackelberg model where two players compete in a sequential contest, and the player that successfully invests the most effort wins. Our formulation considers a probabili…
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries
Kananart Kuwaranancharoen, Lei Xin, Shreyas Sundaram
The problem of distributed optimization requires a group of networked agents to compute a parameter that minimizes the average of their local cost functions. While there are a vari…
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Jiaming Wang, Jiqian Dong, Sikai Chen +2
The exponential growth of electric vehicles (EVs) presents novel challenges in preserving battery health and in addressing the persistent problem of vehicle range anxiety. To addre…
The Minimizer of the Sum of Two Strongly Convex Functions
Kananart Kuwaranancharoen, Shreyas Sundaram
The optimization problem concerning the determination of the minimizer for the sum of convex functions holds significant importance in the realm of distributed and decentralized op…
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms
Kananart Kuwaranancharoen, Shreyas Sundaram
The problem of designing distributed optimization algorithms that are resilient to Byzantine adversaries has received significant attention. For the Byzantine-resilient distributed…
Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints
Ahmad Bilal Asghar, Shreyas Sundaram, Stephen L. Smith
In this paper we study multi-robot path planning for persistent monitoring tasks. We consider the case where robots have a limited battery capacity with a discharge time . We re…
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Jiajun Shen, Kananart Kuwaranancharoen, Raid Ayoub +2
Model-based Reinforcement Learning (RL) integrates learning and planning and has received increasing attention in recent years. However, learning the model can incur a significant…
Learning Dynamical Systems by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but not identical) dynamics, i…
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
Tong Yao, Shreyas Sundaram
We study robust mean estimation in an online and distributed scenario in the presence of adversarial data attacks. At each time step, each agent in a network receives a potentially…
Finite Sample Guarantees for Distributed Online Parameter Estimation with Communication Costs
Lei Xin, George Chiu, Shreyas Sundaram
We study the problem of estimating an unknown parameter in a distributed and online manner. Existing work on distributed online learning typically either focuses on asymptotic anal…
Optimal Mitigation of SIR Epidemics Under Model Uncertainty
Baike She, Shreyas Sundaram, Philip E. Paré
We study the impact of model parameter uncertainty on optimally mitigating the spread of epidemics. We capture the epidemic spreading process using a susceptible-infected-removed (…
Resilience for Distributed Consensus with Constraints
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
This paper proposes a new approach that enables multi-agent systems to achieve resilient \textit{constrained} consensus in the presence of Byzantine attacks, in contrast to existin…
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
Mohammad Pirani, Aritra Mitra, Shreyas Sundaram
As the scale of networked control systems increases and interactions between different subsystems become more sophisticated, questions of the resilience of such networks increase i…
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the t…
Learning the Dynamics of Autonomous Linear Systems From Multiple Trajectories
Lei Xin, George Chiu, Shreyas Sundaram
We consider the problem of learning the dynamics of autonomous linear systems (i.e., systems that are not affected by external control inputs) from observations of multiple traject…
Planning for Package Deliveries in Risky Environments Over Multiple Epochs
Blake Wilson, Jeffrey Hudack, Shreyas Sundaram
We study a risk-aware robot planning problem where a dispatcher must construct a package delivery plan that maximizes the expected reward for a robot delivering packages across mul…
Distributed Estimation of Sparse Inverse Covariances
Tong Yao, Shreyas Sundaram
Learning the relationships between various entities from time-series data is essential in many applications. Gaussian graphical models have been studied to infer these relationship…
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics
Baike She, Humphrey C. H. Leung, Shreyas Sundaram +1
We propose an SIR epidemic model coupled with opinion dynamics to study an epidemic and opinions spreading in a network of communities. Our model couples networked SIR epidemic dyn…
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements
Lintao Ye, Philip E. Paré, Shreyas Sundaram
We study the problem of estimating the parameters (i.e., infection rate and recovery rate) governing the spread of epidemics in networks. Such parameters are typically estimated by…
Towards Resilience for Multi-Agent -Learning
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
This paper considers the multi-agent reinforcement learning (MARL) problem for a networked (peer-to-peer) system in the presence of Byzantine agents. We build on an existing distri…
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
Mustafa Abdallah, Timothy Cason, Saurabh Bagchi +1
We consider a security game in a setting consisting of two players (an attacker and a defender), each with a given budget to allocate towards attack and defense, respectively, of a…
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics
Baike She, Ji Liu, Shreyas Sundaram +1
We propose a mathematical model to study coupled epidemic and opinion dynamics in a network of communities. Our model captures SIS epidemic dynamics whose evolution is dependent on…
On the Computational Complexity of the Secure State-Reconstruction Problem
Yanwen Mao, Aritra Mitra, Shreyas Sundaram +1
In this paper, we discuss the computational complexity of reconstructing the state of a linear system from sensor measurements that have been corrupted by an adversary. The first r…
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems
Mustafa Abdallah, Sayan Mitra, Shreyas Sundaram +1
We consider a security setting in which the Cyber-Physical System (CPS) is composed of subnetworks where each subnetwork is under ownership of one defender. Such CPS can be represe…