Hepeng Li

Orcid: 0000-0002-7775-9088

According to our database1, Hepeng Li authored at least 19 papers between 2015 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Multiagent Trust Region Policy Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making.
CoRR, 2024

2023
Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2022

Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

An Analytical Update Rule for General Policy Optimization.
Proceedings of the International Conference on Machine Learning, 2022

2021
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Real-Time Residential Demand Response.
IEEE Trans. Smart Grid, 2020

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2020

Multi-Agent Trust Region Policy Optimization.
CoRR, 2020

A Deep Reinforcement Learning Based Approach for Home Energy Management System.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

One-Shot Unsupervised Domain Adaptation for Object Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning.
IEEE Trans. Smart Grid, 2019

Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2019

2018
Residential Energy Management with Deep Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2015
Mixed H2 / H∞ optimal control for three-phase Grid Connected Converter.
Proceedings of the IEEE International Conference on Information and Automation, 2015


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