Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

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Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. / Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar.
In: Neural networks, Vol. 109, 01.2019, p. 67-80.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Tanneberg, D, Peters, J & Rueckert, E 2019, 'Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks', Neural networks, vol. 109, pp. 67-80. https://doi.org/10.1016/j.neunet.2018.10.005

APA

Tanneberg, D., Peters, J., & Rueckert, E. (2019). Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural networks, 109, 67-80. https://doi.org/10.1016/j.neunet.2018.10.005

Vancouver

Tanneberg D, Peters J, Rueckert E. Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural networks. 2019 Jan;109:67-80. doi: 10.1016/j.neunet.2018.10.005

Author

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar. / Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. In: Neural networks. 2019 ; Vol. 109. pp. 67-80.

Bibtex - Download

@article{fbcf6f8f9a4b4b31a86fbd2c07494c46,
title = "Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks",
keywords = "Autonomous robots, Experience replay, Intrinsic motivation, Neural sampling, Online learning, Spiking recurrent networks",
author = "Daniel Tanneberg and Jan Peters and Elmar Rueckert",
note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",
year = "2019",
month = jan,
doi = "10.1016/j.neunet.2018.10.005",
language = "English",
volume = "109",
pages = "67--80",
journal = "Neural networks",
issn = "0893-6080",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

AU - Tanneberg, Daniel

AU - Peters, Jan

AU - Rueckert, Elmar

N1 - Publisher Copyright: © 2018 Elsevier Ltd

PY - 2019/1

Y1 - 2019/1

KW - Autonomous robots

KW - Experience replay

KW - Intrinsic motivation

KW - Neural sampling

KW - Online learning

KW - Spiking recurrent networks

UR - http://www.scopus.com/inward/record.url?scp=85056187742&partnerID=8YFLogxK

U2 - 10.1016/j.neunet.2018.10.005

DO - 10.1016/j.neunet.2018.10.005

M3 - Article

C2 - 30408695

AN - SCOPUS:85056187742

VL - 109

SP - 67

EP - 80

JO - Neural networks

JF - Neural networks

SN - 0893-6080

ER -

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