b'Tamer Basar'

research

∙ 03/11/2022

Linear Quadratic Mean-Field Games with Communication Constraints

In this paper, we study a large population game with heterogeneous dynam...

Shubham Aggarwal, et al. ∙

research

∙ 01/20/2022

The Role of Gossiping for Information Dissemination over Networked Agents

We consider information dissemination over a network of gossiping agents...

Melih Bastopcu, et al. ∙

research

∙ 12/23/2021

Decentralized Multi-Task Stochastic Optimization With Compressed Communications

We consider a multi-agent network where each node has a stochastic (loca...

Navjot Singh, et al. ∙

research

∙ 12/15/2021

Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games

Learning in stochastic games is arguably the most standard and fundament...

Zuguang Gao, et al. ∙

research

∙ 11/19/2021

Modeling Presymptomatic Spread in Epidemics via Mean-Field Games

This paper is concerned with developing mean-field game models for the e...

S. Yagiz Olmez, et al. ∙

research

∙ 10/12/2021

On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) algorithms often suffer from a...

Weichao Mao, et al. ∙

research

∙ 10/12/2021

Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games

This paper addresses the problem of learning an equilibrium efficiently ...

Weichao Mao, et al. ∙

research

∙ 09/29/2021

Adversarial Linear-Quadratic Mean-Field Games over Multigraphs

In this paper, we propose a game between an exogenous adversary and a ne...

Muhammad Aneeq uz Zaman, et al. ∙

research

∙ 06/04/2021

Decentralized Q-Learning in Zero-sum Markov Games

We study multi-agent reinforcement learning (MARL) in infinite-horizon d...

Muhammed O. Sayin, et al. ∙

research

∙ 05/17/2021

The Confluence of Networks, Games and Learning

Recent years have witnessed significant advances in technologies and ser...

Tao Li, et al. ∙

research

∙ 03/30/2021

Reputation and Pricing Dynamics in Online Markets

We study the economic interactions among sellers and buyers in online ma...

Qian Ma, et al. ∙

research

∙ 01/04/2021

Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity

Direct policy search serves as one of the workhorses in modern reinforce...

Kaiqing Zhang, et al. ∙

research

∙ 10/07/2020

Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs

We consider model-free reinforcement learning (RL) in non-stationary Mar...

Weichao Mao, et al. ∙

research

∙ 09/09/2020

Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games

In this paper, we study large population multi-agent reinforcement learn...

Muhammad Aneeq uz Zaman, et al. ∙

research

∙ 07/15/2020

Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity

Model-based reinforcement learning (RL), which finds an optimal policy u...

Kaiqing Zhang, et al. ∙

research

∙ 06/08/2020

POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis

Monte-Carlo planning, as exemplified by Monte-Carlo Tree Search (MCTS), ...

Weichao Mao, et al. ∙

research

∙ 04/02/2020

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) under partial observability ha...

Weichao Mao, et al. ∙

research

∙ 03/30/2020

Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games

While the topic of mean-field games (MFGs) has a relatively long history...

Muhammad Aneeq uz Zaman, et al. ∙

research

∙ 03/01/2020

Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

This paper proposes a fully asynchronous scheme for policy evaluation of...

Xingyu Sha, et al. ∙

research

∙ 02/18/2020

Distributed Adaptive Newton Methods with Globally Superlinear Convergence

This paper considers the distributed optimization problem over a network...

Jiaqi Zhang, et al. ∙

research

∙ 12/09/2019

Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances

Multi-agent reinforcement learning (MARL) has long been a significant an...

Kaiqing Zhang, et al. ∙

research

∙ 11/24/2019

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Recent years have witnessed significant advances in reinforcement learni...

Kaiqing Zhang, et al. ∙

research

∙ 11/03/2019

Non-Cooperative Inverse Reinforcement Learning

Making decisions in the presence of a strategic opponent requires one to...

Xiangyuan Zhang, et al. ∙

research

∙ 10/21/2019

Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence

Policy optimization (PO) is a key ingredient for reinforcement learning ...

Kaiqing Zhang, et al. ∙

research

∙ 09/13/2019

Strategic Inference with a Single Private Sample

Motivated by applications in cyber security, we develop a simple game mo...

Erik Miehling, et al. ∙

research

∙ 08/06/2019

Online Planning for Decentralized Stochastic Control with Partial History Sharing

In decentralized stochastic control, standard approaches for sequential ...

Kaiqing Zhang, et al. ∙

research

∙ 07/22/2019

Optimal Hierarchical Signaling for Quadratic Cost Measures and General Distributions: A Copositive Program Characterization

In this paper, we address the problem of optimal hierarchical signaling ...

Muhammed O. Sayin, et al. ∙

research

∙ 07/06/2019

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning

This paper considers a distributed reinforcement learning problem in whi...

Yixuan Lin, et al. ∙

research

∙ 06/19/2019

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Policy gradient (PG) methods are a widely used reinforcement learning me...

Kaiqing Zhang, et al. ∙

research

∙ 05/31/2019

Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games

We study the global convergence of policy optimization for finding the N...

Kaiqing Zhang, et al. ∙

research

∙ 03/15/2019

A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning

This paper extends off-policy reinforcement learning to the multi-agent ...

Wesley Suttle, et al. ∙

research

∙ 02/09/2019

A Game of Drones: Cyber-Physical Security of Time-Critical UAV Applications with Cumulative Prospect Theory Perceptions and Valuations

The effective deployment of unmanned aerial vehicle (UAV) systems and se...

Anibal Sanjab, et al. ∙

research

∙ 02/04/2019

Deception-As-Defense Framework for Cyber-Physical Systems

We introduce deceptive signaling framework as a new defense measure agai...

Muhammed O. Sayin, et al. ∙

research

∙ 01/30/2019

A Game Theoretical Error-Correction Framework for Secure Traffic-Sign Classification

We introduce a game theoretical error-correction framework to design cla...

Muhammed O. Sayin, et al. ∙

research

∙ 01/30/2019

Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives

We introduce a robust sensor design framework to provide defense against...

Muhammed O. Sayin, et al. ∙

research

∙ 12/07/2018

Communication-Efficient Distributed Reinforcement Learning

This paper studies the distributed reinforcement learning (DRL) problem ...

Tianyi Chen, et al. ∙

research

∙ 12/06/2018

Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning

Despite the increasing interest in multi-agent reinforcement learning (M...

Kaiqing Zhang, et al. ∙

research

∙ 11/19/2018

Distributed Learning of Average Belief Over Networks Using Sequential Observations

This paper addresses the problem of distributed learning of average beli...

Kaiqing Zhang, et al. ∙

research

∙ 07/31/2018

Revisiting Client Puzzles for State Exhaustion Attacks Resilience

In this paper, we address the challenges facing the adoption of client p...

Mohammad A. Noureddine, et al. ∙

research

∙ 07/08/2018

Resilient Output Synchronization of Heterogeneous Multi-agent Systems under Cyber-Physical Attacks

In this paper, we first describe, supported with analysis, the adverse e...

Rohollah Moghadam, et al. ∙

research

∙ 04/08/2018

On Remote Estimation with Multiple Communication Channels

This paper considers a sequential sensor scheduling and remote estimatio...

Xiaobin Gao, et al. ∙

research

∙ 02/23/2018

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

We consider the problem of fully decentralized multi-agent reinforcement...

Kaiqing Zhang, et al. ∙

research

∙ 02/22/2018

Reliable Intersection Control in Non-cooperative Environments

We propose a reliable intersection control mechanism for strategic auton...

Muhammed O. Sayin, et al. ∙

research

∙ 01/26/2018

Graph-Theoretic Framework for Unified Analysis of Observability and Data Injection Attacks in the Smart Grid

In this paper, a novel graph-theoretic framework is proposed to generali...

Anibal Sanjab, et al. ∙

research

∙ 10/09/2017

Countries' Survival in Networked International Environments

This paper applies a recently developed power allocation game in Li and ...

Yuke Li, et al. ∙

research

∙ 10/03/2017

Generalized Colonel Blotto Game

Competitive resource allocation between adversarial decision makers aris...

Aidin Ferdowsi, et al. ∙

research

∙ 09/30/2017

A Game-Theoretic Method for Multi-Period Demand Response: Revenue Maximization, Power Allocation, and Asymptotic Behavior

We study a multi-period demand response management problem in the smart ...

Khaled Alshehri, et al. ∙

research

∙ 09/21/2017

Discrete-Time Polar Opinion Dynamics with Susceptibility

This paper considers a discrete-time opinion dynamics model in which eac...

Ji Liu, et al. ∙

research

∙ 08/14/2017

Strategic Communication Between Prospect Theoretic Agents over a Gaussian Test Channel

In this paper, we model a Stackelberg game in a simple Gaussian test cha...

Venkata Sriram Siddhardh Nadendla, et al. ∙

research

∙ 05/27/2017

Evolution of Social Power in Social Networks with Dynamic Topology

The recently proposed DeGroot-Friedkin model describes the dynamical evo...

Mengbin Ye, et al. ∙

Tamer Basar

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