Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.

S. Li, M. Li, J. Su, S. Chen, Z. Yuan, and Q. Ye. ACM Trans. Intell. Syst. Technol., 12 (3): 35:1-35:21 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhimin Sun

Zhimin Li

Zhimin Yin

Zhimin Xu

Xiugan Yuan

Other publications of authors with the same name

HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.Z. Yuan, X. Ma, J. Yi, Z. Luo, and J. Peng. Comput. Methods Programs Biomed., (2021)Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.J. Peng, and Z. Yuan. IEEE J. Biomed. Health Informatics, 24 (8): 2251-2259 (2020)DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds.L. Shi, Z. Yuan, M. Cheng, Y. Chen, and C. Wang. IEEE Trans. Geosci. Remote. Sens., (2022)Asynchronous Spiking Neural P System with Promoters.Z. Yuan, and Z. Zhang. APPT, volume 4847 of Lecture Notes in Computer Science, page 693-702. Springer, (2007)Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation.Y. Su, M. Cheng, Z. Yuan, W. Liu, W. Zeng, and C. Wang. IEEE Trans. Geosci. Remote. Sens., (2023)PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.S. Li, M. Li, J. Su, S. Chen, Z. Yuan, and Q. Ye. ACM Trans. Intell. Syst. Technol., 12 (3): 35:1-35:21 (2021)DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds.Y. Su, W. Liu, Z. Yuan, M. Cheng, Z. Zhang, X. Shen, and C. Wang. CoRR, (2021)Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images.J. Yi, Z. Yuan, and J. Peng. ISBI, page 1205-1208. IEEE, (2020)Domain adaptive remote sensing image semantic segmentation with prototype guidance.W. Zeng, M. Cheng, Z. Yuan, W. Dai, Y. Wu, W. Liu, and C. Wang. Neurocomputing, (2024)Spatial Compression for Fronthaul-Constrained Uplink Receiver in 5G Systems.T. Wang, H. Guo, J. Wang, and Z. Yuan. WCNC, page 1-6. IEEE, (2019)

BibSonomy

Disambiguation of "Yuan, Zhimin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Zhimin Sun

Zhimin Li

Zhimin Yin

Zhimin Xu

Xiugan Yuan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yuan, Zhimin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.

Please choose a person to relate this publication to

Zhimin Sun

Zhimin Li

Zhimin Yin

Zhimin Xu

Xiugan Yuan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning.