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:
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