Safe Exploration in Reinforcement Learning: Theory and Applications in Robotics
dc.contributor.author
Berkenkamp, Felix
dc.contributor.supervisor
Krause, Andreas
dc.contributor.supervisor
Schoellig, Angela P.
dc.contributor.supervisor
Morari, Manfred
dc.date.accessioned
2019-10-16T10:53:26Z
dc.date.available
2019-10-16T07:30:42Z
dc.date.available
2019-10-16T10:53:26Z
dc.date.issued
2019
dc.identifier.uri
http://hdl.handle.net/20.500.11850/370833
dc.identifier.doi
10.3929/ethz-b-000370833
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Safe Exploration in Reinforcement Learning: Theory and Applications in Robotics
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-10-16
ethz.size
206 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::621.3 - Electric engineering
ethz.identifier.diss
26214
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02661 - Institut für Maschinelles Lernen / Institute for Machine Learning::03908 - Krause, Andreas / Krause, Andreas
en_US
ethz.date.deposited
2019-10-16T07:30:52Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-16T10:53:42Z
ethz.rosetta.lastUpdated
2021-02-15T06:16:48Z
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true
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Doctoral Thesis [30346]