
NearOptimal Regret Bounds for ModelFree RL in NonStationary Episodic MDPs
We consider modelfree reinforcement learning (RL) in nonstationary Mar...
read it

Reinforcement Learning in NonStationary DiscreteTime LinearQuadratic MeanField Games
In this paper, we study large population multiagent reinforcement learn...
read it

ModelBased MultiAgent RL in ZeroSum Markov Games with NearOptimal Sample Complexity
Modelbased reinforcement learning (RL), which finds an optimal policy u...
read it

POLYHOOT: MonteCarlo Planning in Continuous Space MDPs with NonAsymptotic Analysis
MonteCarlo planning, as exemplified by MonteCarlo Tree Search (MCTS), ...
read it

Information State Embedding in Partially Observable Cooperative MultiAgent Reinforcement Learning
Multiagent reinforcement learning (MARL) under partial observability ha...
read it

Approximate Equilibrium Computation for DiscreteTime LinearQuadratic MeanField Games
While the topic of meanfield games (MFGs) has a relatively long history...
read it

Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
This paper proposes a fully asynchronous scheme for policy evaluation of...
read it

Distributed Adaptive Newton Methods with Globally Superlinear Convergence
This paper considers the distributed optimization problem over a network...
read it

Decentralized MultiAgent Reinforcement Learning with Networked Agents: Recent Advances
Multiagent reinforcement learning (MARL) has long been a significant an...
read it

MultiAgent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Recent years have witnessed significant advances in reinforcement learni...
read it

NonCooperative Inverse Reinforcement Learning
Making decisions in the presence of a strategic opponent requires one to...
read it

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 ...
read it

Strategic Inference with a Single Private Sample
Motivated by applications in cyber security, we develop a simple game mo...
read it

Online Planning for Decentralized Stochastic Control with Partial History Sharing
In decentralized stochastic control, standard approaches for sequential ...
read it

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 ...
read it

A CommunicationEfficient MultiAgent ActorCritic Algorithm for Distributed Reinforcement Learning
This paper considers a distributed reinforcement learning problem in whi...
read it

Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Policy gradient (PG) methods are a widely used reinforcement learning me...
read it

Policy Optimization Provably Converges to Nash Equilibria in ZeroSum Linear Quadratic Games
We study the global convergence of policy optimization for finding the N...
read it

A MultiAgent OffPolicy ActorCritic Algorithm for Distributed Reinforcement Learning
This paper extends offpolicy reinforcement learning to the multiagent ...
read it

A Game of Drones: CyberPhysical Security of TimeCritical UAV Applications with Cumulative Prospect Theory Perceptions and Valuations
The effective deployment of unmanned aerial vehicle (UAV) systems and se...
read it

DeceptionAsDefense Framework for CyberPhysical Systems
We introduce deceptive signaling framework as a new defense measure agai...
read it

A Game Theoretical ErrorCorrection Framework for Secure TrafficSign Classification
We introduce a game theoretical errorcorrection framework to design cla...
read it

Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives
We introduce a robust sensor design framework to provide defense against...
read it

CommunicationEfficient Distributed Reinforcement Learning
This paper studies the distributed reinforcement learning (DRL) problem ...
read it

FiniteSample Analyses for Fully Decentralized MultiAgent Reinforcement Learning
Despite the increasing interest in multiagent reinforcement learning (M...
read it

Distributed Learning of Average Belief Over Networks Using Sequential Observations
This paper addresses the problem of distributed learning of average beli...
read it

Revisiting Client Puzzles for State Exhaustion Attacks Resilience
In this paper, we address the challenges facing the adoption of client p...
read it

Resilient Output Synchronization of Heterogeneous Multiagent Systems under CyberPhysical Attacks
In this paper, we first describe, supported with analysis, the adverse e...
read it

On Remote Estimation with Multiple Communication Channels
This paper considers a sequential sensor scheduling and remote estimatio...
read it

Fully Decentralized MultiAgent Reinforcement Learning with Networked Agents
We consider the problem of fully decentralized multiagent reinforcement...
read it

Reliable Intersection Control in Noncooperative Environments
We propose a reliable intersection control mechanism for strategic auton...
read it

GraphTheoretic Framework for Unified Analysis of Observability and Data Injection Attacks in the Smart Grid
In this paper, a novel graphtheoretic framework is proposed to generali...
read it

Countries' Survival in Networked International Environments
This paper applies a recently developed power allocation game in Li and ...
read it

Generalized Colonel Blotto Game
Competitive resource allocation between adversarial decision makers aris...
read it

A GameTheoretic Method for MultiPeriod Demand Response: Revenue Maximization, Power Allocation, and Asymptotic Behavior
We study a multiperiod demand response management problem in the smart ...
read it

DiscreteTime Polar Opinion Dynamics with Susceptibility
This paper considers a discretetime opinion dynamics model in which eac...
read it

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...
read it

Evolution of Social Power in Social Networks with Dynamic Topology
The recently proposed DeGrootFriedkin model describes the dynamical evo...
read it

On the Analysis of the DeGrootFriedkin Model with Dynamic Relative Interaction Matrices
This paper analyses the DeGrootFriedkin model for evolution of the indi...
read it

AdaptiveRate Compressive Sensing Using Side Information
We provide two novel adaptiverate compressive sensing (CS) strategies f...
read it
Tamer Basar
is this you? claim profile
Professor, Director, Center for Advanced Study Interim Dean, College of Engineering at University of Illinois at UrbanaChampaign