Cited by 72Reinforcement Learning in RoboticsDistributed Control Multi-Agent SystemsPrivacy-Preserving Technologies in Data

Target localization using multi-agent deep reinforcement learning with proximal policy optimization

Alagha, Ahmed, Singh, Shakti, Mizouni, Rabeb, Bentahar, Jamal, Otrok, Hadi·2022·Future Generation Computer Systems

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Crossref · 10.1016/j.future.2022.06.015

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57 of 57 references verified0 citation errors · 0 not checkable

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  • Creative AI spans text, art, music, and more, pushing boundaries of AI's creative potential across modalities including images, audio, and video, by generating artistic content, with commercial success like MidJourney and DALL-E.

    “This emerging subdomain spans across text, art, music, and more, pushing the boundaries of AI's creative and innovative potential across various modalities including images, audio, and video, by engaging in the generation of artistic content, encompassing applications in idea generation, storytelling, poetry, music composition, visual arts, and creative writing, and has resulted in commercial”

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Authors
Alagha, A., Singh, S., Mizouni, R., Bentahar, J., & Otrok, H.
Affiliations
  • Concordia University (CA)
  • Khalifa University of Science and Technology (AE)
Corresponding author
Alagha, Ahmed
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2022-11
Volume
136
Pages
342-357
ISSN
0167-739X (ISSN-L)
OpenAlex
W4283768545
Cited by
72
References
59
Citations by year
2026: 16 · 2025: 19 · 2024: 19 · 2023: 16 · 2022: 2
FWCI
4.61
Type
journal article
Language
en
Open access
closed
Locations
Future Generation Computer Systems (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords
target localization, multi-agent deep reinforcement learning, proximal policy optimization, actor-critic, convolutional neural networks, centralized training decentralized execution, team-based rewards, agent cooperation, sensor fusion, unmanned aerial vehicles, image downscaling, Gaussian filtering

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