Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications

Nguyen, Thanh Thi, Nguyen, Ngoc Duy and Nahavandi, Saeid 2020, Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications, IEEE transactions on cybernetics, pp. 1-14, doi: 10.1109/TCYB.2020.2977374.

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Title Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications
Author(s) Nguyen, Thanh ThiORCID iD for Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663
Nguyen, Ngoc Duy
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE transactions on cybernetics
Start page 1
End page 14
Total pages 14
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2168-2267
Keyword(s) Mathematical model
Robots
Dynamic programming
Games
Reinforcement learning
Deep learning
Observability
Continuous action space
Language eng
DOI 10.1109/TCYB.2020.2977374
Indigenous content off
Field of Research 080101 Adaptive Agents and Intelligent Robotics
080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137063

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