Lin Zhao

Orcid: 0000-0002-1078-887X

Affiliations:
  • National University of Singapore, Department of Electrical and Computer Engineering, Singapore
  • Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA (former)


According to our database1, Lin Zhao authored at least 37 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback.
IEEE Trans. Cybern., June, 2024

On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control.
IEEE Trans. Autom. Control., February, 2024

Neural Moving Horizon Estimation for Robust Flight Control.
IEEE Trans. Robotics, 2024

Preference-Guided Reinforcement Learning for Efficient Exploration.
CoRR, 2024

Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors.
CoRR, 2024

Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Trust-Region Neural Moving Horizon Estimation for Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Unifying performance specifications in tracking control of MIMO nonlinear systems with actuation faults.
Autom., September, 2023

Unified Mapping Function-Based Neuroadaptive Control of Constrained Uncertain Robotic Systems.
IEEE Trans. Cybern., June, 2023

Finite-Time Analysis of Single-Timescale Actor-Critic.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deterministic policy gradient: Convergence analysis.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback.
Proceedings of the American Control Conference, 2022

2021
Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback.
CoRR, 2021

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios.
CoRR, 2021

Finite-time theory for momentum Q-learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Faster Non-asymptotic Convergence for Double Q-learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parallel Collaborative Motion Planning with Alternating Direction Method of Multipliers.
Proceedings of the IECON 2021, 2021

Differentiable Moving Horizon Estimation for Robust Flight Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Momentum Q-learning with Finite-Sample Convergence Guarantee.
CoRR, 2020

Finite-Time Analysis for Double Q-learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Momentum-based Accelerated Q-learning.
CoRR, 2019

Connections between mean-field game and social welfare optimization.
Autom., 2019

2018
A Unified Stochastic Hybrid System Approach to Aggregate Modeling of Responsive Loads.
IEEE Trans. Autom. Control., 2018

2016
Extracting flexibility of heterogeneous deferrable loads via polytopic projection approximation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On social optima of non-cooperative mean field games.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A geometric approach to virtual battery modeling of thermostatically controlled loads.
Proceedings of the 2016 American Control Conference, 2016

2015
A stochastic hybrid system approach to aggregated load modeling for demand response.
Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, 2015

A unified Stochastic Hybrid System approach to aggregated load modeling for demand response.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
On the Optimal Solutions of the Infinite-Horizon Linear Sensor Scheduling Problem.
IEEE Trans. Autom. Control., 2014

2013
Integrated Network-Based Model Predictive Control for Setpoints Compensation in Industrial Processes.
IEEE Trans. Ind. Informatics, 2013

Robust Stability and Stabilization of Uncertain T-S Fuzzy Systems With Time-Varying Delay: An Input-Output Approach.
IEEE Trans. Fuzzy Syst., 2013

Adaptive neural-fuzzy inference system based method to modeling of vehicle crash.
Proceedings of the IEEE International Conference on Mechatronics, 2013

2011
Stability and stabilization of T-S fuzzy systems with time-varying delay: An input-output approach.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009
Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays.
Neurocomputing, 2009


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