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Jun Yang
88 publications
Ming Zhang
73 publications
David Zhang
58 publications
Jose Blanchet
56 publications
Xiu Li
56 publications
Shuai Ma
40 publications
Zhengyuan Zhou
39 publications
Chongjie Zhang
32 publications
Quan-Lin Li
26 publications
Zhiheng Li
22 publications
Peter W. Glynn
18 publications

∙ 02/27/2023

Global Algorithms for Mean-Variance Optimization in Markov Decision Processes

Dynamic optimization of mean and variance in Markov decision processes (...

0 Li Xia, et al. ∙

∙ 10/17/2022

Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion

CVaR (Conditional Value at Risk) is a risk metric widely used in finance...

0 Li Xia, et al. ∙

∙ 09/14/2022

Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation

Among the reasons hindering reinforcement learning (RL) applications to ...

0 Xiaoteng Ma, et al. ∙

∙ 08/01/2022

Dominant Eigenvalue-Eigenvector Pair Estimation via Graph Infection

We present a novel method to estimate the dominant eigenvalue and eigenv...

0 Kaiyuan Yang, et al. ∙

∙ 06/15/2022

Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning

Keeping risk under control is often more crucial than maximizing expecte...

0 Xiaoteng Ma, et al. ∙

∙ 01/15/2022

A unified algorithm framework for mean-variance optimization in discounted Markov decision processes

This paper studies the risk-averse mean-variance optimization in infinit...

0 Shuai Ma, et al. ∙

∙ 06/07/2021

Average-Reward Reinforcement Learning with Trust Region Methods

Most of reinforcement learning algorithms optimize the discounted criter...

0 Xiaoteng Ma, et al. ∙

∙ 03/06/2021

Zero-Sum Semi-Markov Games with State-Action-Dependent Discount Factors

Semi-Markov model is one of the most general models for stochastic dynam...

0 Zhihui Yu, et al. ∙

∙ 03/06/2021

Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces

We study a finite-horizon two-person zero-sum risk-sensitive stochastic ...

0 Junyu Zhang, et al. ∙

∙ 08/09/2020

Risk-Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance

This paper investigates the optimization problem of an infinite stage di...

0 Li Xia, et al. ∙

∙ 06/25/2020

SOAC: The Soft Option Actor-Critic Architecture

The option framework has shown great promise by automatically extracting...

5 Chenghao Li, et al. ∙

∙ 06/20/2020

Embedding-based Retrieval in Facebook Search

Search in social networks such as Facebook poses different challenges th...

0 Jui-Ting Huang, et al. ∙

∙ 06/05/2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

The generative adversarial imitation learning (GAIL) has provided an adv...

8 Ming Zhang, et al. ∙

∙ 04/30/2020

Distributional Soft Actor Critic for Risk Sensitive Learning

Most of reinforcement learning (RL) algorithms aim at maximizing the exp...

7 Xiaoteng Ma, et al. ∙

∙ 03/17/2020

Multi-action Offline Policy Learning with Bayesian Optimization

We study an offline multi-action policy learning algorithm based on doub...

0 Fang Cai, et al. ∙

∙ 07/24/2019

An Overview for Markov Decision Processes in Queues and Networks

Markov decision processes (MDPs) in queues and networks have been an int...

0 Quan-Lin Li, et al. ∙

∙ 01/05/2019

Optimal Asynchronous Dynamic Policies in Energy-Efficient Data Centers

In this paper, we use a Markov decision process to find optimal asynchro...

0 Jing-Yu Ma, et al. ∙

∙ 06/11/2017

Group-Server Queues

By analyzing energy-efficient management of data centers, this paper pro...

0 Quan-Lin Li, et al. ∙

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