Tamer Basar

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University of Illinois at Urbana-Champaign

Professor, Director, Center for Advanced Study Interim Dean, College of Engineering at University of Illinois at Urbana-Champaign

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

We consider model-free reinforcement learning (RL) in non-stationary Mar...
10/07/2020 ∙ by Weichao Mao, et al. ∙ 2 ∙ share

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

In this paper, we study large population multi-agent reinforcement learn...
09/09/2020 ∙ by Muhammad Aneeq uz Zaman, et al. ∙ 0 ∙ share

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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...
07/15/2020 ∙ by Kaiqing Zhang, et al. ∙ 27 ∙ share

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

Monte-Carlo planning, as exemplified by Monte-Carlo Tree Search (MCTS), ...
06/08/2020 ∙ by Weichao Mao, et al. ∙ 0 ∙ share

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

Multi-agent reinforcement learning (MARL) under partial observability ha...
04/02/2020 ∙ by Weichao Mao, et al. ∙ 0 ∙ share

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

While the topic of mean-field games (MFGs) has a relatively long history...
03/30/2020 ∙ by Muhammad Aneeq uz Zaman, et al. ∙ 0 ∙ share

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Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

This paper proposes a fully asynchronous scheme for policy evaluation of...
03/01/2020 ∙ by Xingyu Sha, et al. ∙ 0 ∙ share

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Distributed Adaptive Newton Methods with Globally Superlinear Convergence

This paper considers the distributed optimization problem over a network...
02/18/2020 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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

Multi-agent reinforcement learning (MARL) has long been a significant an...
12/09/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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

Recent years have witnessed significant advances in reinforcement learni...
11/24/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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Non-Cooperative Inverse Reinforcement Learning

Making decisions in the presence of a strategic opponent requires one to...
11/03/2019 ∙ by Xiangyuan Zhang, et al. ∙ 0 ∙ share

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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 ...
10/21/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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Strategic Inference with a Single Private Sample

Motivated by applications in cyber security, we develop a simple game mo...
09/13/2019 ∙ by Erik Miehling, et al. ∙ 0 ∙ share

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Online Planning for Decentralized Stochastic Control with Partial History Sharing

In decentralized stochastic control, standard approaches for sequential ...
08/06/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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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 ...
07/22/2019 ∙ by Muhammed O. Sayin, et al. ∙ 0 ∙ share

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

This paper considers a distributed reinforcement learning problem in whi...
07/06/2019 ∙ by Yixuan Lin, et al. ∙ 0 ∙ share

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

Policy gradient (PG) methods are a widely used reinforcement learning me...
06/19/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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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...
05/31/2019 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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

This paper extends off-policy reinforcement learning to the multi-agent ...
03/15/2019 ∙ by Wesley Suttle, et al. ∙ 0 ∙ share

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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...
02/09/2019 ∙ by Anibal Sanjab, et al. ∙ 0 ∙ share

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Deception-As-Defense Framework for Cyber-Physical Systems

We introduce deceptive signaling framework as a new defense measure agai...
02/04/2019 ∙ by Muhammed O. Sayin, et al. ∙ 0 ∙ share

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

We introduce a game theoretical error-correction framework to design cla...
01/30/2019 ∙ by Muhammed O. Sayin, et al. ∙ 0 ∙ share

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Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives

We introduce a robust sensor design framework to provide defense against...
01/30/2019 ∙ by Muhammed O. Sayin, et al. ∙ 0 ∙ share

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Communication-Efficient Distributed Reinforcement Learning

This paper studies the distributed reinforcement learning (DRL) problem ...
12/07/2018 ∙ by Tianyi Chen, et al. ∙ 0 ∙ share

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

Despite the increasing interest in multi-agent reinforcement learning (M...
12/06/2018 ∙ by Kaiqing Zhang, et al. ∙ 2 ∙ share

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Distributed Learning of Average Belief Over Networks Using Sequential Observations

This paper addresses the problem of distributed learning of average beli...
11/19/2018 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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Revisiting Client Puzzles for State Exhaustion Attacks Resilience

In this paper, we address the challenges facing the adoption of client p...
07/31/2018 ∙ by Mohammad A. Noureddine, et al. ∙ 0 ∙ share

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

In this paper, we first describe, supported with analysis, the adverse e...
07/08/2018 ∙ by Rohollah Moghadam, et al. ∙ 0 ∙ share

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On Remote Estimation with Multiple Communication Channels

This paper considers a sequential sensor scheduling and remote estimatio...
04/08/2018 ∙ by Xiaobin Gao, et al. ∙ 0 ∙ share

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Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

We consider the problem of fully decentralized multi-agent reinforcement...
02/23/2018 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

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Reliable Intersection Control in Non-cooperative Environments

We propose a reliable intersection control mechanism for strategic auton...
02/22/2018 ∙ by Muhammed O. Sayin, et al. ∙ 0 ∙ share

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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...
01/26/2018 ∙ by Anibal Sanjab, et al. ∙ 0 ∙ share

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Countries' Survival in Networked International Environments

This paper applies a recently developed power allocation game in Li and ...
10/09/2017 ∙ by Yuke Li, et al. ∙ 0 ∙ share

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Generalized Colonel Blotto Game

Competitive resource allocation between adversarial decision makers aris...
10/03/2017 ∙ by Aidin Ferdowsi, et al. ∙ 0 ∙ share

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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 ...
09/30/2017 ∙ by Khaled Alshehri, et al. ∙ 0 ∙ share

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Discrete-Time Polar Opinion Dynamics with Susceptibility

This paper considers a discrete-time opinion dynamics model in which eac...
09/21/2017 ∙ by Ji Liu, et al. ∙ 0 ∙ share

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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...
08/14/2017 ∙ by Venkata Sriram Siddhardh Nadendla, et al. ∙ 0 ∙ share

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Evolution of Social Power in Social Networks with Dynamic Topology

The recently proposed DeGroot-Friedkin model describes the dynamical evo...
05/27/2017 ∙ by Mengbin Ye, et al. ∙ 0 ∙ share

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On the Analysis of the DeGroot-Friedkin Model with Dynamic Relative Interaction Matrices

This paper analyses the DeGroot-Friedkin model for evolution of the indi...
03/15/2017 ∙ by Mengbin Ye, et al. ∙ 0 ∙ share

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Adaptive-Rate Compressive Sensing Using Side Information

We provide two novel adaptive-rate compressive sensing (CS) strategies f...
01/03/2014 ∙ by Garrett Warnell, et al. ∙ 0 ∙ share

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Tamer Basar

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