31 citations · 65 across the 57 of their papers we have counts for
14 papers · 1 filter
The Silence that Speaks: Neural Estimation via Communication Gaps
Shubham Aggarwal, Dipankar Maity, Tamer Başar
Accurate remote state estimation is a fundamental component of many autonomous and networked dynamical systems, where multiple decision-making agents interact and communicate over…
Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
Asrin Efe Yorulmaz, Tamer Başar
No-regret learning dynamics play a central role in game theory, enabling decentralized convergence to equilibrium for concepts such as Coarse Correlated Equilibrium (CCE) or Correl…
Control Disturbance Rejection in Neural ODEs
Erkan Bayram, Mohamed-Ali Belabbas, Tamer Başar
In this paper, we propose an iterative training algorithm for Neural ODEs that provides models resilient to control (parameter) disturbances. The method builds on our earlier work…
Geometric Foundations of Tuning without Forgetting in Neural ODEs
Erkan Bayram, Mohamed-Ali Belabbas, Tamer Başar
In our earlier work, we introduced the principle of Tuning without Forgetting (TwF) for sequential training of neural ODEs, where training samples are added iteratively and paramet…
Harnessing Information in Incentive Design
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Başar
Incentive design deals with interaction between a principal and an agent where the former can shape the latter's utility through a policy commitment. It is well known that the prin…
A Soft Inducement Framework for Incentive-Aided Steering of No-Regret Players
Asrin Efe Yorulmaz, Raj Kiriti Velicheti, Melih Bastopcu +1
In this work, we investigate a steering problem in a mediator-augmented two-player normal-form game, where the mediator aims to guide players toward a specific action profile throu…
Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
Semih Kara, Tamer Başar
Fictitious play (FP) is a well-studied algorithm that enables agents to learn Nash equilibrium in games with certain reward structures. However, when agents have no prior knowledge…
Distributed Event-Triggered Nash Equilibrium Seeking for Noncooperative Games
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstic +1
We propose locally convergent Nash equilibrium seeking algorithms for -player noncooperative games, which use distributed event-triggered pseudo-gradient estimates. The proposed…
Data-Driven Two-Stage Distributionally Robust Dispatch of Multi-Energy Microgrid
Xunhang Sun, Xiaoyu Cao, Bo Zeng +3
This paper studies adaptive distributionally robust dispatch (DRD) of the multi-energy microgrid under supply and demand uncertainties. A Wasserstein ambiguity set is constructed t…
InterQ: A DQN Framework for Optimal Intermittent Control
Shubham Aggarwal, Dipankar Maity, Tamer Başar
In this letter, we explore the communication-control co-design of discrete-time stochastic linear systems through reinforcement learning. Specifically, we examine a closed-loop sys…
Communication and Control Co-design in Non-cooperative Games
Shubham Aggarwal, Tamer Başar, Dipankar Maity
In this article, we revisit a communication-control co-design problem for a class of two-player stochastic differential games on an infinite horizon. Each 'player' represents two a…
Distributed Offloading in Multi-Access Edge Computing Systems: A Mean-Field Perspective
Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu +2
Multi-access edge computing (MEC) technology is a promising solution to assist power-constrained IoT devices by providing additional computing resources for time-sensitive tasks. I…
Lie-Bracket Nash Equilibrium Seeking with Bounded Update Rates for Noncooperative Games
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstic +1
This paper proposes a novel approach for local convergence to Nash equilibrium in quadratic noncooperative games based on a distributed Lie-bracket extremum seeking control scheme.…
Fully Decentralized Computation Offloading in Priority-Driven Edge Computing Systems
Shubham Aggarwal, Melih Bastopcu, Muhammad Aneeq uz Zaman +3
We develop a novel framework for fully decentralized offloading policy design in multi-access edge computing (MEC) systems. The system comprises power-constrained user equipmen…