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Yu Zeng

Professor

Nanyang Technological University (NTU)

Singapore

Research Interests

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Professors in Reinforcement Learning

Articles (13)

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2024

Collaborators (9)

Qingxiang Liu

Research Assistant Professor

City University of Hong Kong

HONG KONG

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Gaowen Liang

Nanyang Technological University

SINGAPORE

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Yi Tang

Nanyang Technological University (NTU)

SINGAPORE

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Sergio Vazquez

Full professor

Universidad de Sevilla

SPAIN

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Christopher Townsend

University of Western Australia

AUSTRALIA

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Kye Yak See

Nanyang Technological University (NTU)

SINGAPORE

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Frede Blaabjerg

Professor

Aalborg University

DENMARK

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Georgios Konstantinou

Associate Professor

University of New South Wales

AUSTRALIA

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Glen Farivar

University of Melbourne

AUSTRALIA

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Yu Zeng

Research Interests

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Articles (13)

Sim-to-Real Control for Triple Active Bridge Converters in Electric Aircraft: An Online-Trained Deep Reinforcement Learning Method

Discontinuous PWM With Intermediate-Level Clamping for Improved Switching Efficiency and Operational Reliability in Cascaded H-bridge Converters

General Algebraic Modulation Scheme for Single-Stage Multiport Inverters

Real-Time Augmented Deep Reinforcement Learning Implementation Framework for Power Electronic Converters

Dual-Rate Model-Free Quasi-Cycle-by-Cycle Control of High-Frequency PMSM Drives

Online-Trained Deep Reinforcement Learning-Based Control for Reconfigurable Battery Storage in DC Shipboard Microgrid Applications

Swift and Seamless Start-Up of DAB Converters in Constant and Variable Frequency Modes

Easy Transfer Learning-Based Model-Data-Hybrid-Driven Fault Detection for Battery Inverters

Physics-Informed Deep Transfer Reinforcement Learning Method for the Input-Series Output-Parallel Dual Active Bridge-Based Auxiliary Power Modules in Electrical Aircraft

High-Frequency Impedance Modeling of Nanocrystalline Common-Mode Chokes Using Mixed-Mode Theory and Improved Multistage RLC Iteration Circuit

A Junction Temperature Prediction Method Based on Multivariate Linear Regression Using Current Fall Characteristics of SiC MOSFETs

Multi-Objective Controller Design for Grid-Following Converters with Easy Transfer Reinforcement Learning

Constant Current Precharging Algorithm for Solid State Power Controllers

Collaborators (9)

Qingxiang Liu

Gaowen Liang

Yi Tang

Sergio Vazquez

Christopher Townsend

Kye Yak See

Frede Blaabjerg

Georgios Konstantinou

Glen Farivar

Make your next move.