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Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.

X. Kong, B. Xin, F. Liu, and Y. Wang. CoRR, (2017)

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Convergence Analysis of Möller Algorithm for Estimating Minor Component.Y. Gao, X. Kong, C. Hu, H. Zhang, and L. Hou. Neural Processing Letters, 42 (2): 355-368 (2015)Robust Complex Behaviour Modeling at 90Hz.X. Kong, Y. Wang, and T. Xiang. AAAI, page 3516-3522. AAAI Press, (2016)A Generalized Information Criterion for Generalized Minor Component Extraction.Y. Gao, X. Kong, C. Hu, L. Hongzeng, and L. Hou. IEEE Trans. Signal Processing, 65 (4): 947-959 (2017)A Residual Storage Life Prediction Approach for Systems With Operation State Switches.X. Si, C. Hu, X. Kong, and D. Zhou. IEEE Trans. Industrial Electronics, 61 (11): 6304-6315 (2014)Quality-Relevant Data-Driven Process Monitoring Based on Orthogonal Signal Correction and Recursive Modified PLS.X. Kong, J. Luo, Z. Xu, and L. Hongzeng. IEEE Access, (2019)Adaptive Generalized Eigen-Pairs Extraction Algorithms and Their Convergence Analysis.X. Feng, X. Kong, Z. Duan, and H. Ma. IEEE Trans. Signal Processing, 64 (11): 2976-2989 (2016)A Novel Unified and Self-Stabilizing Algorithm for Generalized Eigenpairs Extraction.X. Feng, X. Kong, H. Ma, and X. Si. IEEE Trans. Neural Netw. Learning Syst., 28 (12): 3032-3044 (2017)Recursive-CPLS-Based Quality-Relevant and Process-Relevant Fault Monitoring With Application to the Tennessee Eastman Process.C. Hu, Z. Xu, X. Kong, and J. Luo. IEEE Access, (2019)Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.X. Kong, B. Xin, F. Liu, and Y. Wang. CoRR, (2017)Quality-Related and Process-Related Fault Monitoring With Online Monitoring Dynamic Concurrent PLS.X. Kong, Z. Cao, Q. An, Y. Gao, and B. Du. IEEE Access, (2018)

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Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.

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Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning.