31 citations · 65 across the 57 of their papers we have counts for
60 papers
Privacy Preserving Gossip Learning
Erkan Bayram, Mohamed-Ali Belabbas, Tamer Başar
We propose a decentralized privacy-preserving learning algorithm in which each agent holds a single private sample and a shared model. Samples are learned sequentially, and each up…
Adaptive Agent Design
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Başar
We consider an agent acting against a general non-Markovian environment. The agent maintains its agent states, but is free to choose a transition kernel across those states and opt…
Independent Reinforcement Learning in Discounted Markov Games
Asrin Efe Yorulmaz, Ugur Aydin, Tamer Basar
In this work, we study radically uncoupled learning in discounted general-sum Markov games. Assuming `` for ", we show that, for every fixed discount f…
Shared Infrastructure Investment and Pricing: Stackelberg Equilibria in Risk-Aware Take-or-Pay Contracts
Amal Sakr, Andrea Araldo, Tamer Başar +1
We study a shared infrastructure deployed by an Infrastructure Provider (InP) and used by multiple firms generating revenues through resource usage. We focus on a challenging setti…
Network-Induced Strategic Communication in Opinion Dynamics
Hassan Munif, Anthony Couthures, Vineeth S. Varma +2
Classical opinion dynamics typically assume a fixed mapping from private opinions to public signals, such as linear exchange, saturated signaling, or discrete public actions. In th…
Continuity of VaR and Continuous Differentiability of CVaR under Decision-Dependent Losses
Amal Sakr, Andrea Araldo, Tamer Başar +1
Value-at-risk (VaR) and conditional value-at-risk (CVaR) are widely used in risk-aware optimization and equilibrium models. When the loss depends on a decision variable, the induce…
Cooperative and Noncooperative Paradigms for Game-Theoretic Control of Socio-Technical Systems
Tamer Başar, Tomohisa Hayakawa, Hideaki Ishii +1
This tutorial presents cooperative and noncooperative game-theoretic frameworks for modeling, learning, and control in socio-technical systems, where human behavior, incentives, in…
A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms
Junji Yan, Asrin Efe Yorulmaz, Hanchen Zhou +1
Modern Graphics Processing Unit (GPU)-backed services must satisfy strict latency service-level objectives (SLOs) while controlling spare-capacity costs. In multi-tenant GPU cloud…
Meta-Learning for Repeated Bayesian Persuasion
Ata Poyraz Turna, Asrin Efe Yorulmaz, Tamer Başar
Classical Bayesian persuasion studies how a sender influences receivers through carefully designed signaling policies within a single strategic interaction. In many real-world envi…
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…
Remote Estimation Games with Random Walk Processes: Stackelberg Equilibrium
Atahan Dokme, Raj Kiriti Velicheti, Melih Bastopcu +1
Remote estimation is a crucial element of real time monitoring of a stochastic process. While most of the existing works have concentrated on obtaining optimal sampling strategies,…