Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey

James Orr; Ayan Dutta

doi:10.3390/s23073625

Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey

James Orr, Ayan Dutta

School of Computing

University of North Florida

Research output: Contribution to journal › Review article › peer-review

Original language	English
Article number	3625
Journal	Sensors
Volume	23
Issue number	7
DOIs	https://doi.org/10.3390/s23073625
State	Published - Apr 2023

ASJC Scopus Subject Areas

Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering

Keywords

deep reinforcement learning
multi-agent learning
multi-robot systems
survey

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10.3390/s23073625

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title = "Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey",

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author = "James Orr and Ayan Dutta",

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volume = "23",

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KW - multi-agent learning

KW - multi-robot systems

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Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey

ASJC Scopus Subject Areas

Keywords

Access to Document

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