89 citations · 129 across the 22 of their papers we have counts for
24 papers
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks
Xingchi Liu, Lyudmila Mihaylova, Jemin George +1
Uncertainty quantification plays a key role in the development of autonomous systems, decision-making, and tracking over wireless sensor networks (WSNs). However, there is a need o…
Reinforcement Learning with an Abrupt Model Change
Wuxia Chen, Taposh Banerjee, Jemin George +1
The problem of reinforcement learning is considered where the environment or the model undergoes a change. An algorithm is proposed that an agent can apply in such a problem to ach…
Asynchronous Bayesian Learning over a Network
Kinjal Bhar, He Bai, Jemin George +1
We present a practical asynchronous data fusion model for networked agents to perform distributed Bayesian learning without sharing raw data. Our algorithm uses a gossip-based appr…
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
Gangshan Jing, He Bai, Jemin George +2
Achieving distributed reinforcement learning (RL) for large-scale cooperative multi-agent systems (MASs) is challenging because: (i) each agent has access to only limited informati…
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph
Gangshan Jing, He Bai, Jemin George +2
Existing distributed cooperative multi-agent reinforcement learning (MARL) frameworks usually assume undirected coordination graphs and communication graphs while estimating a glob…
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent
Gangshan Jing, He Bai, Jemin George +2
Recently introduced distributed zeroth-order optimization (ZOO) algorithms have shown their utility in distributed reinforcement learning (RL). Unfortunately, in the gradient estim…
Learning Distributed Stabilizing Controllers for Multi-Agent Systems
Gangshan Jing, He Bai, Jemin George +2
We address the problem of model-free distributed stabilization of heterogeneous multi-agent systems using reinforcement learning (RL). Two algorithms are developed. The first algor…
Decomposability and Parallel Computation of Multi-Agent LQR
Gangshan Jing, He Bai, Jemin George +1
Individual agents in a multi-agent system (MAS) may have decoupled open-loop dynamics, but a cooperative control objective usually results in coupled closed-loop dynamics thereby m…
High-Resolution Modeling of the Fastest First-Order Optimization Method for Strongly Convex Functions
Boya Sun, Jemin George, Solmaz Kia
Motivated by the fact that the gradient-based optimization algorithms can be studied from the perspective of limiting ordinary differential equations (ODEs), here we derive an ODE…
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation
Gangshan Jing, He Bai, Jemin George +1
Designing the optimal linear quadratic regulator (LQR) for a large-scale multi-agent system (MAS) is time-consuming since it involves solving a large-size matrix Riccati equation.…
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning
He Bai, Jemin George, Aranya Chakrabortty
We propose a new reinforcement learning based approach to designing hierarchical linear quadratic regulator (LQR) controllers for heterogeneous linear multi-agent systems with unkn…
A Decentralized Approach to Bayesian Learning
Anjaly Parayil, He Bai, Jemin George +1
Motivated by decentralized approaches to machine learning, we propose a collaborative Bayesian learning algorithm taking the form of decentralized Langevin dynamics in a non-convex…
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization
Navjot Singh, Deepesh Data, Jemin George +1
In this paper, we propose and analyze SQuARM-SGD, a communication-efficient algorithm for decentralized training of large-scale machine learning models over a network. In SQuARM-SG…
A Finite-Time Algorithm for the Distributed Tracking of Maneuvering Target
Jemin George
This paper presents a novel distributed algorithm for tracking a maneuvering target using bearing or direction of arrival measurements collected by a networked sensor array. The pr…
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization
Navjot Singh, Deepesh Data, Jemin George +1
In this paper, we propose and analyze SPARQ-SGD, which is an event-triggered and compressed algorithm for decentralized training of large-scale machine learning models. Each node c…
Multi-Agent Coordination for Distributed Transmit Beamforming
Jemin George, Anjaly Parayil, He Bai
This paper presents the formulation and analysis of a two time-scale optimization algorithm for multi-agent coordination for the purpose of distributed beamforming. Each agent is a…
Distributed Deep Learning with Event-Triggered Communication
Jemin George, Prudhvi Gurram
We develop a Distributed Event-Triggered Stochastic GRAdient Descent (DETSGRAD) algorithm for solving non-convex optimization problems typically encountered in distributed deep lea…
Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning
Jemin George, Tao Yang, He Bai +1
We develop a distributed stochastic gradient descent algorithm for solving non-convex optimization problems under the assumption that the local objective functions are twice contin…
Distributed Least Squares Solver for Network Linear Equations
Tao Yang, Jemin George, Jiahu Qin +2
In this paper, we study the problem of finding the least square solutions of over-determined linear algebraic equations over networks in a distributed manner. Each node has access…
Distributed Robust Dynamic Average Consensus with Dynamic Event-Triggered Communication
Jemin George, Xinlei Yi, Tao Yang
This paper presents the formulation and analysis of a fully distributed dynamic event-triggered communication based robust dynamic average consensus algorithm. Dynamic average cons…
Distributed Maximum Likelihood using Dynamic Average Consensus
Jemin George
This paper presents the formulation and analysis of a novel distributed maximum likelihood algorithm that utilizes a first-order optimization scheme. The proposed approach utilizes…
Distributed Fault Detection and Accommodation in Dynamic Average Consensus
Jemin George, Matthew L. Elwin, Randy A. Freeman +1
This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithm…
Distributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication
Xinlei Yi, Lisha Yao, Tao Yang +2
In this paper, we propose a fully distributed algorithm for second-order continuous-time multi-agent systems to solve the distributed optimization problem. The global objective fun…
Strategic Seeding of Rival Opinions
Samuel D. Johnson, Jemin George, Raissa M. D'Souza
We present a network influence game that models players strategically seeding the opinions of nodes embedded in a social network. A social learning dynamic, whereby nodes repeatedl…