research
∙
07/17/2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
We study robust reinforcement learning (RL) with the goal of determining...
share
research
∙
05/01/2023
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem
We provide a new information-theoretic generalization error bound that i...
research
∙
06/10/2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
We study policy optimization for Markov decision processes (MDPs) with m...
research
∙
05/03/2022
Improved Weakly Private Information Retrieval Codes
We study the problem of weakly private information retrieval (W-PIR), wh...
research
∙
04/11/2022
Approximate Top-m Arm Identification with Heterogeneous Reward Variances
We study the effect of reward variance heterogeneity in the approximate ...
research
∙
04/11/2022
On Top-k Selection from m-wise Partial Rankings via Borda Counting
We analyze the performance of the Borda counting algorithm in a non-para...
research
∙
01/28/2022
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds
We propose a new approach to apply the chaining technique in conjunction...
research
∙
10/31/2021
Fast Global Convergence of Policy Optimization for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
research
∙
06/04/2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
research
∙
01/13/2021
Two-Level Private Information Retrieval
In the conventional robust T-colluding private information retrieval (PI...
research
∙
12/17/2020
Individually Conditional Individual Mutual Information Bound on Generalization Error
We propose a new information-theoretic bound on generalization error bas...
research
∙
08/03/2020
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems
In a private information retrieval (PIR) system, the user needs to retri...
research
∙
09/25/2019
On the Information Leakage in Private Information Retrieval Systems
We consider information leakage to the user in private information retri...
research
∙
03/19/2019
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size
We consider constructing capacity-achieving linear codes with minimum me...
research
∙
01/23/2019
Online Learning with Diverse User Preferences
In this paper, we investigate the impact of diverse user preference on l...
research
∙
05/22/2018
Cost-aware Cascading Bandits
In this paper, we propose a cost-aware cascading bandits model, a new va...
research
∙
04/11/2018
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access
In this paper, we investigate cost-aware joint learning and optimization...
research
∙
02/22/2018