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Record link:
http://hdl.handle.net/20.500.12708/146966
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Title:
Policy learning in Continuous-Time Markov Decision Processes using Gaussian Processes
en
Citation:
Bartocci, E., Bortolussi, L., Brázdil, T., Milios, D., & Sanguinetti, G. (2017). Policy learning in Continuous-Time Markov Decision Processes using Gaussian Processes.
Performance Evaluation
,
116
, 84–100. https://doi.org/10.1016/j.peva.2017.08.007
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Publisher DOI:
10.1016/j.peva.2017.08.007
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Publication Type:
Article - Original Research Article
en
Language:
English
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Authors:
Bartocci, Ezio
Bortolussi, Luca
Brázdil, Tomáš
Milios, Dimitrios
Sanguinetti, Guido
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Organisational Unit:
E191-01 - Forschungsbereich Cyber-Physical Systems
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Journal:
Performance Evaluation
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ISSN:
0166-5316
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Date (published):
Nov-2017
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Number of Pages:
17
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Publisher:
ELSEVIER
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Peer reviewed:
Yes
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Keywords:
Modeling and Simulation; Software; Hardware and Architecture; Computer Networks and Communications
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%
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Science Branch:
Informatik
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Appears in Collections:
Article
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