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2020 – today
- 2024
[j6]Hepeng Li
, Haibo He:
Multiagent Trust Region Policy Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12873-12887 (2024)- 2023
- [c11]Hepeng Li, Xiangnan Zhong, Haibo He:
An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. IJCNN 2023: 1-8 - [c10]Zhenhua Wang, Hepeng Li, Haibo He, Yan Sun:
Robust Distributed Finite-time Secondary Frequency Control of Islanded AC Microgrids With Event-Triggered Mechanism. ISGT 2023: 1-5 - 2022
- [j5]Hepeng Li, Haibo He:
Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning. IEEE Trans. Smart Grid 13(3): 1860-1872 (2022) - [c9]Hepeng Li, Nicholas Clavette, Haibo He:
An Analytical Update Rule for General Policy Optimization. ICML 2022: 12696-12716 - [c8]Zhenhua Wang, William Danilczyk, Hepeng Li, Haibo He, Yan Lindsay Sun:
Resilient Predictor-Based Load Frequency Control for Multi-Region Power Systems Under DoS Attacks. ISGT 2022: 1-5 - 2021
- [c7]Hepeng Li, Zhenhua Wang, Haibo He:
Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning. IJCNN 2021: 1-7 - [c6]Lusi Li, Laura Slayton, Hepeng Li, Haibo He:
Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing. SSCI 2021: 1-7 - [c5]Hepeng Li, Zhenhua Wang, Lusi Li, Haibo He:
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. SSCI 2021: 1-8 - [i2]Hepeng Li, Nicholas Clavette, Haibo He:
An Analytical Update Rule for General Policy Optimization. CoRR abs/2112.02045 (2021) - 2020
- [j4]Hepeng Li, Zhiqiang Wan, Haibo He:
Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning. IEEE Trans. Smart Grid 11(3): 2427-2439 (2020) - [j3]Hepeng Li, Zhiqiang Wan, Haibo He:
Real-Time Residential Demand Response. IEEE Trans. Smart Grid 11(5): 4144-4154 (2020) - [c4]Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni:
One-Shot Unsupervised Domain Adaptation for Object Detection. IJCNN 2020: 1-8 - [c3]Hepeng Li, Zhiqiang Wan, Haibo He:
A Deep Reinforcement Learning Based Approach for Home Energy Management System. ISGT 2020: 1-5 - [i1]Hepeng Li, Haibo He:
Multi-Agent Trust Region Policy Optimization. CoRR abs/2010.07916 (2020)
2010 – 2019
- 2019
- [j2]Peng Zeng, Hepeng Li, Haibo He, Shuhui Li:
Dynamic Energy Management of a Microgrid Using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning. IEEE Trans. Smart Grid 10(4): 4435-4445 (2019) - [j1]Zhiqiang Wan, Hepeng Li, Haibo He, Danil V. Prokhorov:
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning. IEEE Trans. Smart Grid 10(5): 5246-5257 (2019) - 2018
- [c2]Zhiqiang Wan, Hepeng Li, Haibo He:
Residential Energy Management with Deep Reinforcement Learning. IJCNN 2018: 1-7 - 2015
- [c1]Zhongwen Li, Chuanzhi Zang, Peng Zeng, Haibin Yu, Hepeng Li, Jing Bian:
Mixed H2 / H∞ optimal control for three-phase Grid Connected Converter. ICIA 2015: 912-917
Coauthor Index
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