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

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.

Y. Xiang, J. Qiu, J. Yu, J. Tang, G. Ge, Y. Wang, and H. Yang. ROBIO, page 1508-1514. IEEE, (2022)

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.

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

Other publications of authors with the same name

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.Y. Xiang, J. Qiu, J. Yu, J. Tang, G. Ge, Y. Wang, and H. Yang. ROBIO, page 1508-1514. IEEE, (2022)FTT-NAS: Discovering Fault-Tolerant Neural Architecture.W. Li, X. Ning, G. Ge, X. Chen, Y. Wang, and H. Yang. ASP-DAC, page 211-216. IEEE, (2020)Adaptive package coding on unreliable memories for LDPC decoders in radiation environment.G. Ge, and L. Yin. APCC, page 1-5. IEEE, (2017)LDPC Decoder with Embedded Coding on Unreliable Memories.G. Ge, L. Yin, and Q. Huang. GLOBECOM, page 1-6. IEEE, (2017)FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture.X. Ning, G. Ge, W. Li, Z. Zhu, Y. Zheng, X. Chen, Z. Gao, Y. Wang, and H. Yang. ACM Trans. Design Autom. Electr. Syst., 26 (6): 44:1-44:24 (2021)Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.S. Zeng, G. Dai, K. Zhong, H. Sun, G. Ge, K. Guo, Y. Wang, and H. Yang. FPGA, page 317. ACM, (2020)MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model.Y. Wu, Q. Gu, J. Yu, G. Ge, J. Wang, Q. Liao, C. Zhang, and Y. Wang. ROBIO, page 1198-1203. IEEE, (2022)Reliability Evaluation of Pruned Neural Networks against Errors on Parameters.Z. Gao, X. Wei, H. Zhang, W. Li, G. Ge, Y. Wang, and P. Reviriego. DFT, page 1-6. IEEE, (2020)Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.S. Zeng, G. Dai, H. Sun, K. Zhong, G. Ge, K. Guo, Y. Wang, and H. Yang. FCCM, page 102-110. IEEE, (2020)Ensemble of Pruned Networks for Reliable Classifiers.Z. Gao, H. Zhang, X. Wei, J. Xiao, S. Zeng, G. Ge, Y. Wang, and P. Reviriego. AICAS, page 1-4. IEEE, (2021)

BibSonomy

Disambiguation of "Ge, Guangjun"

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

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.

Please choose a person to relate this publication to

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ge, Guangjun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.

Please choose a person to relate this publication to

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Mengyao Ge

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

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm.