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Study on Asymptotic Stability of Fractional Singular Systems with Time Delay

International Journal of Control, 2020, Automation, and Systems, 18(4), , pp.1002-1011

2020

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Kernel-Based Least Squares Temporal Difference With Gradient Correction

IEEE transaction on neural networks and learning systems, 2016-04, Vol.27 (4), p.771-782

2016

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Fractional Order IMC Controller Design for Two-input-two-output Fractional Order System

International Journal of Control, 2019, Automation, and Systems, 17(4), , pp.936-947

2019

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Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning

IEEE access, 2019, Vol.7, p.64533-64544

2019

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An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction

IEEE access, 2018-01, Vol.6, p.7515-7525

2018

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Determination of Size-Dependent Source Emission Rate of Cooking-Generated Aerosol Particles at the Oil-Heating Stage in an Experimental Kitchen

Aerosol and Air Quality Research, 2013, Vol.13 (2), p.488-496

2013

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Learning control of fermentation process with an improved DHP algorithm

Chinese journal of chemical engineering, 2016-10, Vol.24 (10), p.1399-1405

2016

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Multi-objective reinforcement learning in process control: A goal-oriented approach with adaptive thresholds

Journal of process control, 2023-09, Vol.129, p.103063, Article 103063

2023

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Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation

IEEE transaction on neural networks and learning systems, 2021-03, Vol.32 (3), p.1217-1227

2021

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Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging

IEEE transactions on systems, man, and cybernetics. Systems, 2022-04, Vol.52 (4), p.2042-2052

2022

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Recursive Least-Squares Temporal Difference With Gradient Correction

IEEE transactions on cybernetics, 2021-08, Vol.51 (8), p.4251-4264

2021

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Actor-Critic Learning Control Based on \ell -Regularized Temporal-Difference Prediction With Gradient Correction

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5899-5909

2018

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Actor-Critic Learning Control Based on -Regularized Temporal-Difference Prediction With Gradient Correction

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5899-5909

2018

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Feature selection in deterministic policy gradient

Journal of engineering (Stevenage, England), 2020-07, Vol.2020 (13), p.403-406

2020

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Sparse Proximal Reinforcement Learning via Nested Optimization

IEEE transactions on systems, man, and cybernetics. Systems, 2020-11, Vol.50 (11), p.4020-4032

2020

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Lenovo Schedules Laptop Manufacturing Using Deep Reinforcement Learning

INFORMS journal on applied analytics, 2022-01, Vol.52 (1), p.56-68

2022

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Online ℓ2-regularized reinforcement learning via RBF neural network

2016 Chinese Control and Decision Conference (CCDC), 2016, p.6627-6632

2016

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Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, p.1886-1891

2017

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Improving convolutional neural network using accelerated proximal gradient method for epilepsy diagnosis

2016 UKACC 11th International Conference on Control (CONTROL), 2016, p.1-6

2016

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Regularization and feature selection in least squares temporal difference with gradient correction

2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016, p.2289-2293

2016

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Least-squares temporal difference learning with eligibility traces based on regularized extreme learning machine

2016 Chinese Control and Decision Conference (CCDC), 2016, p.6976-6981

2016

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Online 2-regularized reinforcement learning via RBF neural network

Chinese Control and Decision Conference, 2016-05, p.6627-6632

2016

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Adaptive Natural Policy Gradient in Reinforcement Learning

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS), 2018, p.605-610

2018

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The stability of fractional singular systems with time delay under state feedback

2019 Chinese Control And Decision Conference (CCDC), 2019, p.1375-1379

2019

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An Accelerated Linear Approximation Method in Deep Actor-Critic Framework

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), 2019, p.87-92

2019

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Study on Asymptotic Stability of Fractional Singular Systems with Time Delay

Kernel-Based Least Squares Temporal Difference With Gradient Correction

Fractional Order IMC Controller Design for Two-input-two-output Fractional Order System

Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning

An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction

Determination of Size-Dependent Source Emission Rate of Cooking-Generated Aerosol Particles at the Oil-Heating Stage in an Experimental Kitchen

Learning control of fermentation process with an improved DHP algorithm

Multi-objective reinforcement learning in process control: A goal-oriented approach with adaptive thresholds

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation

Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging

Recursive Least-Squares Temporal Difference With Gradient Correction

Actor-Critic Learning Control Based on \ell -Regularized Temporal-Difference Prediction With Gradient Correction

Actor-Critic Learning Control Based on -Regularized Temporal-Difference Prediction With Gradient Correction

Feature selection in deterministic policy gradient

Sparse Proximal Reinforcement Learning via Nested Optimization

Lenovo Schedules Laptop Manufacturing Using Deep Reinforcement Learning

Online ℓ2-regularized reinforcement learning via RBF neural network

Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning

Improving convolutional neural network using accelerated proximal gradient method for epilepsy diagnosis

Regularization and feature selection in least squares temporal difference with gradient correction

Least-squares temporal difference learning with eligibility traces based on regularized extreme learning machine

Online 2-regularized reinforcement learning via RBF neural network

Adaptive Natural Policy Gradient in Reinforcement Learning

The stability of fractional singular systems with time delay under state feedback

An Accelerated Linear Approximation Method in Deep Actor-Critic Framework

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