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Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control.

Y. Qiu, Y. Jin, L. Yu, J. Wang, Y. Wang, and X. Zhang. IEEE Internet Things J., 10 (16): 14014-14027 (August 2023)

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Yunbo Han

Yunbo Li

Xiuhui Qiu

Xueping Qiu

Tiequn Qiu

Other publications of authors with the same name

Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control.Y. Qiu, Y. Jin, J. Wang, and X. Zhang. SMC, page 2709-2714. IEEE, (2022)Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control.Y. Qiu, Y. Jin, L. Yu, J. Wang, Y. Wang, and X. Zhang. IEEE Internet Things J., 10 (16): 14014-14027 (August 2023)Robust Communicative Multi-Agent Reinforcement Learning with Active Defense.L. Yu, Y. Qiu, Q. Yao, Y. Shen, X. Zhang, and J. Wang. CoRR, (2023)Robust Communicative Multi-Agent Reinforcement Learning with Active Defense.L. Yu, Y. Qiu, Q. Yao, Y. Shen, X. Zhang, and J. Wang. AAAI, page 17575-17582. AAAI Press, (2024)Improving Zero-Shot Coordination Performance Based on Policy Similarity.L. Yu, Y. Qiu, Q. Yao, X. Zhang, and J. Wang. ICAPS, page 438-442. AAAI Press, (2023)Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help.Y. Qiu, Y. Jin, L. Yu, J. Wang, and X. Zhang. ICASSP, page 1-5. IEEE, (2023)Low Entropy Communication in Multi-Agent Reinforcement Learning.L. Yu, Y. Qiu, Q. Wang, X. Zhang, and J. Wang. ICC, page 5173-5178. IEEE, (2023)Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control.Y. Qiu, Y. Zhan, Y. Jin, J. Wang, and X. Zhang. VTC Fall, page 1-7. IEEE, (2022)

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Disambiguation of "Qiu, Yunbo"

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Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control.

Please choose a person to relate this publication to

Yunbo Han

Yunbo Li

Xiuhui Qiu

Xueping Qiu

Tiequn Qiu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Qiu, Yunbo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control.

Please choose a person to relate this publication to

Yunbo Han

Yunbo Li

Xiuhui Qiu

Xueping Qiu

Tiequn Qiu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control.