Advantages and limitations of reservoir computing on model learning for robot control

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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OriginalsprogEngelsk
Publikationsdato2015
Antal sider6
StatusUdgivet - 2015
BegivenhedIROS Workshop on Machine Learning in Planning and Control of Robot Motion - Hamburg, Tyskland
Varighed: 2 okt. 2015 → …

Konference

KonferenceIROS Workshop on Machine Learning in Planning and Control of Robot Motion
LandTyskland
ByHamburg
Periode02/10/2015 → …

Citer dette

Polydoros, A., Nalpantidis, L., & Krüger, V. (2015). Advantages and limitations of reservoir computing on model learning for robot control. Afhandling præsenteret på IROS Workshop on Machine Learning in Planning and Control of Robot Motion, Hamburg, Tyskland.
Polydoros, Athanasios ; Nalpantidis, Lazaros ; Krüger, Volker. / Advantages and limitations of reservoir computing on model learning for robot control. Afhandling præsenteret på IROS Workshop on Machine Learning in Planning and Control of Robot Motion, Hamburg, Tyskland.6 s.
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Advantages and limitations of reservoir computing on model learning for robot control. / Polydoros, Athanasios; Nalpantidis, Lazaros; Krüger, Volker.

2015. Afhandling præsenteret på IROS Workshop on Machine Learning in Planning and Control of Robot Motion, Hamburg, Tyskland.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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AU - Nalpantidis, Lazaros

AU - Krüger, Volker

PY - 2015

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Polydoros A, Nalpantidis L, Krüger V. Advantages and limitations of reservoir computing on model learning for robot control. 2015. Afhandling præsenteret på IROS Workshop on Machine Learning in Planning and Control of Robot Motion, Hamburg, Tyskland.