research
∙
07/30/2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
In real-world multi-agent reinforcement learning (MARL) applications, ag...
share
research
∙
05/22/2023
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning
Offline reinforcement learning aims to find the optimal policy from a pr...
research
∙
05/17/2023
Model-Free Robust Average-Reward Reinforcement Learning
Robust Markov decision processes (MDPs) address the challenge of model u...
research
∙
01/02/2023
Robust Average-Reward Markov Decision Processes
In robust Markov decision processes (MDPs), the uncertainty in the trans...
research
∙
10/23/2022
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets
The problem of robust binary hypothesis testing is studied. Under both h...
research
∙
09/21/2022
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation
Secure multi-party computation have seen substantial performance improve...
research
∙
09/17/2022
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems
Electric vehicles (EVs) play critical roles in autonomous mobility-on-de...
research
∙
09/14/2022
Robust Constrained Reinforcement Learning
Constrained reinforcement learning is to maximize the expected reward su...
research
∙
05/15/2022
Policy Gradient Method For Robust Reinforcement Learning
This paper develops the first policy gradient method with global optimal...
research
∙
03/23/2022
Kernel Robust Hypothesis Testing
The problem of robust hypothesis testing is studied, where under the nul...
research
∙
10/20/2021
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
The problem of constrained Markov decision process (CMDP) is investigate...
research
∙
09/29/2021
Online Robust Reinforcement Learning with Model Uncertainty
Robust reinforcement learning (RL) is to find a policy that optimizes th...
research
∙
09/08/2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Actor-critic (AC) algorithms have been widely adopted in decentralized m...
research
∙
04/09/2021
Sequential (Quickest) Change Detection: Classical Results and New Directions
Online detection of changes in stochastic systems, referred to as sequen...
research
∙
04/07/2021
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation
Temporal-difference learning with gradient correction (TDC) is a two tim...
research
∙
03/30/2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...
research
∙
12/07/2020
Learning Graph Neural Networks with Approximate Gradient Descent
The first provably efficient algorithm for learning graph neural network...
research
∙
10/26/2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
Variance reduction techniques have been successfully applied to temporal...
research
∙
05/20/2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
Greedy-GQ is an off-policy two timescale algorithm for optimal control i...
research
∙
03/16/2020
A CNN-Based Blind Denoising Method for Endoscopic Images
The quality of images captured by wireless capsule endoscopy (WCE) is ke...
research
∙
09/26/2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
Gradient-based temporal difference (GTD) algorithms are widely used in o...
research
∙
02/06/2019
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation
Though the convergence of major reinforcement learning algorithms has be...
research
∙
01/27/2019
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
We show that model compression can improve the population risk of a pre-...
research
∙
01/15/2019
Tightening Mutual Information Based Bounds on Generalization Error
A mutual information based upper bound on the generalization error of a ...
research
∙
07/16/2018
Quickest Detection of Dynamic Events in Networks
The problem of quickest detection of dynamic events in networks is studi...
research
∙
11/06/2017
Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis
The problem of quickest change detection (QCD) under transient dynamics ...
research
∙
01/21/2017
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection
The problem of universal outlying sequence detection is studied, where t...
research
∙
04/05/2016
Nonparametric Detection of Geometric Structures over Networks
Nonparametric detection of existence of an anomalous structure over a ne...
research
∙
04/25/2014
Nonparametric Detection of Anomalous Data Streams
A nonparametric anomalous hypothesis testing problem is investigated, in...
research
∙
04/01/2014
