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Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning.

Y. Miyashita, and T. Sugawara. Auton. Intell. Syst., 2 (1): 1-18 (2022)

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Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints.T. Yamauchi, Y. Miyashita, and T. Sugawara. SN Comput. Sci., 4 (1): 83 (2023)Agent System for Inter-AS Routing Error Diagnosis.O. Akashi, T. Sugawara, K. ichiro Murakami, M. Maruyama, and K. Koyanagi. IEEE Internet Comput., 6 (3): 78-82 (2002)Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning.Y. Miyashita, and T. Sugawara. Auton. Intell. Syst., 2 (1): 1-18 (2022)Analysis of coordinated behavior structures with multi-agent deep reinforcement learning.Y. Miyashita, and T. Sugawara. Appl. Intell., 51 (2): 1069-1085 (2021)Probabilistic Award Strategy for Contract Net Protocol in Massively Multi-agent Systems.T. Sugawara, T. Hirotsu, and K. Fukuda. ICAART (2), page 165-171. INSTICC Press, (2010)Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution.Y. Miyashita, T. Yamauchi, and T. Sugawara. COMPSAC, page 14-23. IEEE, (2022)Policy-based BGP control architecture for autonomous routing management.O. Akashi, K. Fukuda, T. Hirotsu, and T. Sugawara. INM@SIGCOMM, page 77-82. ACM, (2006)Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority.Y. Fujitani, T. Yamauchi, Y. Miyashita, and T. Sugawara. KES, volume 207 of Procedia Computer Science, page 1552-1561. Elsevier, (2022)Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization.T. Yamauchi, Y. Miyashita, and T. Sugawara. PRIMA, volume 13753 of Lecture Notes in Computer Science, page 458-474. Springer, (2022)Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning.N. Yoshida, I. Noda, and T. Sugawara. ICAART (1), page 101-112. SCITEPRESS, (2021)

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Disambiguation of "Sugawara, Toshiharu"

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Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning.

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Disambiguation of "Sugawara, Toshiharu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning.

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Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning.