activity
20202026
collaborators

8 papers

math.OC2026

Distributionally Robust Nash Equilibrium Seeking with Partial Observations and Distributed Communication

Nirabhra Mandal, Sonia Martínez

In this work, we study stochastic one-shot games where agents' utilities depend on the collective strategy profiles of other agents as well as on some well-behaved randomness. Whil…

cs.RO2025

Behaviorally Heterogeneous Multi-Agent Exploration Using Distributed Task Allocation

Nirabhra Mandal, Aamodh Suresh, Carlos Nieto-Granda +1

We study a problem of multi-agent exploration with behaviorally heterogeneous robots. Each robot maps its surroundings using SLAM and identifies a set of areas of interest (AoIs) o…

eess.SY2025

Multi-Topic Projected Opinion Dynamics for Resource Allocation

Prashil Wankhede, Nirabhra Mandal, Sonia Martínez +1

We propose a model of opinion formation on resource allocation among multiple topics by multiple agents, who are subject to hard budget constraints. We define a utility function fo…

eess.SY2024

Opinion Dynamics for Utility Maximizing Agents: Exploring the Impact of the Resource Penalty

Prashil Wankhede, Nirabhra Mandal, Sonia Martínez +1

We propose a continuous-time nonlinear model of opinion dynamics with utility-maximizing agents connected via a social influence network. A distinguishing feature of the proposed m…

math.OC2023

Distributed Task Allocation for Self-Interested Agents with Partially Unknown Rewards

Nirabhra Mandal, Mohammad Khajenejad, Sonia Martínez

This paper provides a novel solution to a task allocation problem, by which a group of agents decides on the assignment of a discrete set of tasks in a distributed manner. In this…

eess.SY2023

Control of Discrete-Time LTI Systems using Stochastic Ensemble Systems

Nirabhra Mandal, Mohammad Khajenejad, Sonia Martinez

In this paper, we study the control properties of a new class of stochastic ensemble systems that consists of families of random variables. These random variables provide an increa…

math.OC2020

Dynamics of a Stratified Population of Optimum Seeking Agents on a Network -- Part II: Steady State Analysis

Nirabhra Mandal, Pavankumar Tallapragada

In this second part of our work, we study the steady state of the population and the social utility for the three dynamics SSD, NBRD and NRPM; which were introduced in the first pa…

math.OC2020

Dynamics of a Stratified Population of Optimum Seeking Agents on a Network -- Part I: Modeling and Convergence Analysis

Nirabhra Mandal, Pavankumar Tallapragada

In this work, we consider a population composed of a continuum of agents that seek to maximize a payoff function by moving on a network. The nodes in the network may represent phys…