He Bai

He Bai

Oklahoma State University

H-index: 20

North America-United States

About He Bai

He Bai, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at Oklahoma State University, specializes in the field of control, robotics, estimation, planning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Asynchronous distributed reinforcement learning for lqr control via zeroth-order block coordinate descent

A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic

Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions

Comparison of Nonlinear Filters for Quadcopter Wind Estimation

Dynamic covariance prediction using variational Wishart processes with uncertain inputs

Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle

Wind Field Estimation Using Multiple Quadcopters

Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning

He Bai Information

University

Position

___

Citations(all)

2266

Citations(since 2020)

1298

Cited By

1417

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

38

i10Index(since 2020)

26

Email

University Profile Page

Oklahoma State University

Google Scholar

View Google Scholar Profile

He Bai Skills & Research Interests

control

robotics

estimation

planning

Top articles of He Bai

Title

Journal

Author(s)

Publication Date

Asynchronous distributed reinforcement learning for lqr control via zeroth-order block coordinate descent

IEEE Transactions on Automatic Control

Gangshan Jing

He Bai

Jemin George

Aranya Chakrabortty

Piyush K Sharma

2024/4/8

A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic

accepted for publication, IEEE Transactions on Intelligent Transportation Systems

Jiaxing Lu

Sanzida Hossain

Wakun Lam

Weihua Sheng

He Bai

2024

Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions

IEEE Transactions on Automatic Control

Gangshan Jing

He Bai

Jemin George

Aranya Chakrabortty

Piyush K Sharma

2024/3/12

Comparison of Nonlinear Filters for Quadcopter Wind Estimation

Hao Chen

Braydon Revard

He Bai

Jamey D Jacob

2024

Dynamic covariance prediction using variational Wishart processes with uncertain inputs

Nahid Uzzaman

He Bai

2023/5/31

Incorporating Stochastic Human Driving States in Cooperative Driving Between a Human-Driven Vehicle and an Autonomous Vehicle

Sanzida Hossain

Jiaxing Lu

He Bai

Weihua Sheng

2023/10/1

Wind Field Estimation Using Multiple Quadcopters

IFAC-PapersOnLine

Hao Chen

He Bai

Clark N Taylor

2023/1/1

Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning

Automatica

Kinjal Bhar

He Bai

Jemin George

Carl Busart

2023/10/1

Reinforcement Learning based Approximate Optimal Control of Nonlinear Systems using Carleman Linearization

Jishnudeep Kar

He Bai

Aranya Chakrabortty

2023/5/31

Data-Driven Koopman-based Modeling and Control of Quadcopter in a Turbulent Wind Field

Asma Tabassum

He Bai

2023/8/16

Parameterized input inference for approximate stochastic optimal control

Shahbaz P Qadri Syed

He Bai

2023/5/31

A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations

Asma Tabassum

He Bai

Nicoletta Fala

2023/7/23

Cooperative driving in mixed traffic of manned and unmanned vehicles based on human driving behavior understanding

Jiaxing Lu

Sanzida Hossain

Weihua Sheng

He Bai

2023/5/29

Cooperative Driving between Autonomous Vehicles and Human-driven Vehicles Considering Stochastic Human Input and System Delay

Sanzida Hossain

Jiaxing Lu

He Bai

Weihua Sheng

2023/6/13

Asynchronous Local Computations in Distributed Bayesian Learning

arXiv preprint arXiv:2311.03496

Kinjal Bhar

He Bai

Jemin George

Carl Busart

2023/11/6

Reinforcement Learning-based Control of Nonlinear Systems using Carleman Approximation: Structured and Unstructured Designs

arXiv preprint arXiv:2302.10864

Jishnudeep Kar

He Bai

Aranya Chakrabortty

2023/2/21

Preliminary design of wind-aware sUAS simulation pipeline for urban air mobility

Asma Tabassum

Max DeSantis

He Bai

Nicoletta Fala

2022

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, and Piyush K. Sharma

arXiv preprint arXiv:2202.13046

Gangshan Jing

He Bai

2022/2

Asynchronous Bayesian Learning over a Network

Kinjal Bhar

He Bai

Jemin George

Carl Busart

2022/12/6

Dynamic control allocation between onboard and delayed remote control for unmanned aircraft system detect-and-avoid

Aerospace Science and Technology

Asma Tabassum

He Bai

2022/2/1

See List of Professors in He Bai University(Oklahoma State University)

Co-Authors

H-index: 63
Randal Beard

Randal Beard

Brigham Young University

H-index: 62
John T. Wen

John T. Wen

Rensselaer Polytechnic Institute

H-index: 50
Kevin Lynch

Kevin Lynch

North Western University

H-index: 34
Kevin Seppi

Kevin Seppi

Brigham Young University

H-index: 29
Randy A. Freeman

Randy A. Freeman

North Western University

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