An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture
Schilling M, Melnik A (2018)
In: Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society. Samsonovic AV (Ed); Advances in Intelligent Systems and Computing, 848. Cham: Springer : 272-282.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Samsonovic, Alexei V.
Erscheinungsjahr
2018
Titel des Konferenzbandes
Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society
Serien- oder Zeitschriftentitel
Advances in Intelligent Systems and Computing
Band
848
Seite(n)
272-282
ISBN
978-3-319-99315-7
eISBN
978-3-319-99316-4
ISSN
2194-5357
Page URI
https://pub.uni-bielefeld.de/record/2934190
Zitieren
Schilling M, Melnik A. An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture. In: Samsonovic AV, ed. Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society. Advances in Intelligent Systems and Computing. Vol 848. Cham: Springer ; 2018: 272-282.
Schilling, M., & Melnik, A. (2018). An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture. In A. V. Samsonovic (Ed.), Advances in Intelligent Systems and Computing: Vol. 848. Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society (pp. 272-282). Cham: Springer . doi:10.1007/978-3-319-99316-4_36
Schilling, Malte, and Melnik, Andrew. 2018. “An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture”. In Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society, ed. Alexei V. Samsonovic, 848:272-282. Advances in Intelligent Systems and Computing. Cham: Springer .
Schilling, M., and Melnik, A. (2018). “An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture” in Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society, Samsonovic, A. V. ed. Advances in Intelligent Systems and Computing, vol. 848, (Cham: Springer ), 272-282.
Schilling, M., & Melnik, A., 2018. An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture. In A. V. Samsonovic, ed. Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society. Advances in Intelligent Systems and Computing. no.848 Cham: Springer , pp. 272-282.
M. Schilling and A. Melnik, “An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture”, Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society, A.V. Samsonovic, ed., Advances in Intelligent Systems and Computing, vol. 848, Cham: Springer , 2018, pp.272-282.
Schilling, M., Melnik, A.: An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture. In: Samsonovic, A.V. (ed.) Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society. Advances in Intelligent Systems and Computing. 848, p. 272-282. Springer , Cham (2018).
Schilling, Malte, and Melnik, Andrew. “An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture”. Biologically Inspired Cognitive Architectures 2018. Proceedings of the Ninth Annual Meeting of the BICA Society. Ed. Alexei V. Samsonovic. Cham: Springer , 2018.Vol. 848. Advances in Intelligent Systems and Computing. 272-282.
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