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  Data-Efficient Hierarchical Reinforcement Learning

Nachum, O., Gu, S., Lee, H., & Levine, S. (2019). Data-Efficient Hierarchical Reinforcement Learning. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, & N. Cesa-Bianchi (Eds.), Advances in Neural Information Processing Systems 31 (pp. 3303-3313). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/7591-data-efficient-hierarchical-reinforcement-learning.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-72EA-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-EB1F-C
Genre: Conference Paper

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 Creators:
Nachum, O.1, Author
Gu, S.2, Author           
Lee, H.1, Author
Levine, S.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20182019-07
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://papers.nips.cc/paper/7591-data-efficient-hierarchical-reinforcement-learning
 Degree: -

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Title: 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
Place of Event: Montreal
Start-/End Date: 2018-12-02 - 2018-12-08

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Title: Advances in Neural Information Processing Systems 31
  Subtitle : 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
Source Genre: Proceedings
 Creator(s):
Bengio, S.1, Editor
Wallach, H.1, Editor
Larochelle, H.1, Editor
Grauman, K.1, Editor
Cesa-Bianchi , N.1, Editor
Garnett, R.1, Author
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 5 Sequence Number: - Start / End Page: 3303 - 3313 Identifier: URI: https://papers.nips.cc/paper/2018
ISBN: 978-1-5108-8447-2