31 citations · 65 across the 57 of their papers we have counts for
16 papers · 1 filter
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…
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.…
Extremum and Nash Equilibrium Seeking with Delays and PDEs: Designs & Applications
Tiago Roux Oliveira, Miroslav Krstić, Tamer Başar
The development of extremum seeking (ES) has progressed, over the past hundred years, from static maps, to finite-dimensional dynamic systems, to networks of static and dynamic age…
Semantic Communication in Multi-team Dynamic Games: A Mean Field Perspective
Shubham Aggarwal, Muhammad Aneeq uz Zaman, Melih Bastopcu +1
Coordinating communication and control is a key component in the stability and performance of networked multi-agent systems. While single user networked control systems have gained…
Best Response Strategies for Asymmetric Sensing in Linear-Quadratic Differential Games
Shubham Aggarwal, Tamer Başar, Dipankar Maity
In this paper, we revisit the two-player continuous-time infinite-horizon linear quadratic differential game problem, where one of the players can sample the state of the system on…
Sliding-Mode Nash Equilibrium Seeking for a Quadratic Duopoly Game
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstić +1
This paper introduces a new method to achieve stable convergence to Nash equilibrium in duopoly noncooperative games. Inspired by the recent fixed-time Nash Equilibrium seeking (NE…
Nash Equilibrium Seeking for Noncooperative Duopoly Games via Event-Triggered Control
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav Krstić +1
This paper proposes a novel approach for locally stable convergence to Nash equilibrium in duopoly noncooperative games based on a distributed event-triggered control scheme. The p…
Stochastic-Robust Planning of Networked Hydrogen-Electrical Microgrids: A Study on Induced Refueling Demand
Xunhang Sun, Xiaoyu Cao, Bo Zeng +3
Hydrogen-electrical microgrids are increasingly assuming an important role on the pathway toward decarbonization of energy and transportation systems. This paper studies networked…
Vector-Valued Gossip over -Holonomic Networks
Erkan Bayram, Mohamed-Ali Belabbas, Tamer Başar
We study the weighted average consensus problem for a gossip network of agents with vector-valued states. For a given matrix-weighted graph, the gossip process is described by a se…
Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs
Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman +1
We introduce the receding-horizon policy gradient (RHPG) algorithm, the first PG algorithm with provable global convergence in learning the optimal linear estimator designs, i.e.,…
How does a Rational Agent Act in an Epidemic?
S. Yagiz Olmez, Shubham Aggarwal, Jin Won Kim +4
Evolution of disease in a large population is a function of the top-down policy measures from a centralized planner, as well as the self-interested decisions (to be socially active…
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs
Dongsheng Ding, Kaiqing Zhang, Jiali Duan +2
We study the sequential decision making problem of maximizing the expected total reward while satisfying a constraint on the expected total utility. We employ the natural policy gr…
Asynchronous Networked Aggregative Games
Rongping Zhu, Jiaqi Zhang, Keyou You +1
We propose a fully asynchronous networked aggregative game (Asy-NAG) where each player minimizes a cost function that depends on its local action and the aggregate of all players'…
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang, Xiangyuan Zhang, Bin Hu +1
Direct policy search serves as one of the workhorses in modern reinforcement learning (RL), and its applications in continuous control tasks have recently attracted increasing atte…