Deep Reinforcement Learning for Event-Triggered Control

Baumann, Dominik; Zhu, Jia-Jie; Martius, Georg; Trimpe, Sebastian

doi:10.1109/CDC.2018.8619335

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Deep Reinforcement Learning for Event-Triggered Control

Baumann, D., Zhu, J.-J., Martius, G., & Trimpe, S. (2018). Deep Reinforcement Learning for Event-Triggered Control. In 2018 IEEE Conference on Decision and Control (CDC 2018) (pp. 943-950). Piscataway, NJ: IEEE. doi:10.1109/CDC.2018.8619335.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-74E7-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-6879-0

Genre: Conference Paper

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Creators:
Baumann, Dominik¹, Author
Zhu, Jia-Jie², Author
Martius, Georg², Author
Trimpe, Sebastian¹, Author

Affiliations:
1Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2579691
2Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2575693

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Free keywords: Forschungsgruppe Trimpe; Forschungsgruppe Martius

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Language(s): eng - English

Dates: Published Online: 2019-01-21Date issued: 2018

Publication Status: Issued

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Identifiers: BibTex Citekey: baumann2018deep
DOI: 10.1109/CDC.2018.8619335

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Title: IEEE Conference on Decision and Control (CDC 2018)

Place of Event: Miami Beach, FL

Start-/End Date: 2018-12-17 - 2018-12-19

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Title: 2018 IEEE Conference on Decision and Control (CDC 2018)

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 943 - 950 Identifier: ISBN: 978-1-5386-1395-5
ISBN: 978-1-5386-1394-8
ISBN: 978-1-5386-1396-2
ISSN: 2576-2370
ISSN: 0743-1546