Multi-agent collaborative exploration through graph-based deep reinforcement learning

Autonomous exploration by a single or multiple agents in an unknown environment leads to various applications in automation, such as cleaning, search and rescue, etc. Traditional methods normally take frontier locations and segmented regions of the environment into account to efficiently allocate ta...

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Bibliographic Details
Main Authors: LUO, Tianze, SUBAGDJA, Budhitama, TAN, Ah-hwee, TAN, Ah-Hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/6173
https://ink.library.smu.edu.sg/context/sis_research/article/7176/viewcontent/Full_27_PID6151059.pdf
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Institution: Singapore Management University
Language: English

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