Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning

Schilling M, Melnik A, Ohl FW, Ritter H, Hammer B (2021)
Neural Networks 144: 699-725.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Erscheinungsjahr
2021
Zeitschriftentitel
Neural Networks
Band
144
Seite(n)
699-725
ISSN
08936080
Page URI
https://pub.uni-bielefeld.de/record/2958662

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Schilling M, Melnik A, Ohl FW, Ritter H, Hammer B. Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks. 2021;144:699-725.
Schilling, M., Melnik, A., Ohl, F. W., Ritter, H., & Hammer, B. (2021). Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks, 144, 699-725. https://doi.org/10.1016/j.neunet.2021.09.017
Schilling, M., Melnik, A., Ohl, F. W., Ritter, H., and Hammer, B. (2021). Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks 144, 699-725.
Schilling, M., et al., 2021. Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks, 144, p 699-725.
M. Schilling, et al., “Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning”, Neural Networks, vol. 144, 2021, pp. 699-725.
Schilling, M., Melnik, A., Ohl, F.W., Ritter, H., Hammer, B.: Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. Neural Networks. 144, 699-725 (2021).
Schilling, Malte, Melnik, Andrew, Ohl, Frank W., Ritter, Helge, and Hammer, Barbara. “Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning”. Neural Networks 144 (2021): 699-725.

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