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Decentralised reinforcement learning in Markov games /

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Bibliografiske detaljer
Hovedforfatter:	Vrancx, Peter
Andre forfattere:	Nowe, Ann, Verbeeck, Katja
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Brussel, Belgium : VUBPress, 2010.
Fag:	Reinforcement learning. Markov processes. Game theory. Electronic books.
Online adgang:	An electronic book accessible through the World Wide Web; click to view
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Multi-agent machine learning : a reinforcement approach /
af: Schwartz, Howard M.
Udgivet: (2014)

Labelled Markov processes
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Udgivet: (2009)

Markov processes and applications algorithms, networks, genome and finance /
af: Pardoux, E. (Etienne), 1947-
Udgivet: (2008)

Markov chains theory, algorithms and applications /
af: Sericola, Bruno
Udgivet: (2013)

Markov processes, semigroups, and generators
af: Kolokolʹt͡sov, V. N. (Vasiliĭ Nikitich)
Udgivet: (2011)

Markov processes and applications
af: Jacob, Niels
Udgivet: (2005)

Reinforcement Learning : An Introduction /
af: Sutton, Richard S.
Udgivet: (1998)

Markov processes for stochastic modeling
af: Ibe, Oliver C.
Udgivet: (2013)

Hidden Markov processes : theory and applications to biology /
af: Vidyasagar, M. (Mathukumalli), 1947-
Udgivet: (2014)

Examples in Markov decision processes
af: Piunovskiy, A. B.
Udgivet: (2013)

Markov-modulated processes & semiregenerative phenomena
af: Pacheco, António, 1964-
Udgivet: (2009)

Dirichlet forms and symmetric Markov processes
af: Fukushima, Masatoshi, 1935-
Udgivet: (2010)

Semi-Dirichlet forms and Markov processes
af: Oshima, Yoichi
Udgivet: (2013)

Dirichlet forms and symmetric Markov processes
af: Fukushima, Masatoshi, 1935-
Udgivet: (1994)

Advances in learning theory methods, models, and applications /
Udgivet: (2003)

Markov chains : analytic and Monte Carlo computations /
af: Graham, C. (Carl)
Udgivet: (2014)

Numerical methods of simulation and optimization of piecewise deterministic Markov processes : application to reliability /
af: Saporta, Benoîte de
Udgivet: (2016)

Markov chain Monte Carlo innovations and applications /
Udgivet: (2005)

The power of reinforcement
af: Flora, Stephen Ray, 1963-
Udgivet: (2004)

Semi-supervised learning
Udgivet: (2006)

Reinforced concrete beams, columns and frames mechanics and design /
af: Casandjian, Charles
Udgivet: (2013)

An inductive logic programming approach to statistical relational learning
af: Kersting, Kristian
Udgivet: (2006)

Report of a workshop on the scope and nature of computational thinking
Udgivet: (2010)

Markov processes, Feller semigroups and evolution equations
af: Casteren, J. A. van
Udgivet: (2011)

Dataset shift in machine learning
Udgivet: (2009)

Introduction to machine learning /
af: Alpaydin, Ethem
Udgivet: (2014)

Machine learning for dummies /
af: Mueller, John Paul, et al.
Udgivet: (2016)

Machine learning : hands-on for developers and technical professionals /
af: Bell, Jason
Udgivet: (2015)

Machine learning a probabilistic perspective /
af: Murphy, Kevin P., 1970-
Udgivet: (2012)

Optimal learning
af: Powell, Warren B., 1955-
Udgivet: (2012)

Developments in fiber-reinforced polymer (FRP) composites for civil engineering /
Udgivet: (2013)

Learning scikit-learn : machine learning in Python /
af: Garreta, Raul
Udgivet: (2013)

Computational methods for reinforced concrete structures /
af: Haussler-Combe, Ulrich
Udgivet: (2015)

Foundations of machine learning
af: Mohri, Mehryar
Udgivet: (2012)

Pseudo differential operators & Markov processes.
af: Jacob, Niels
Udgivet: (2001)

Machine learning for financial engineering
af: Györfi, László
Udgivet: (2012)

Kernel methods for pattern analysis
af: Shawe-Taylor, John
Udgivet: (2004)

Symmetric Markov processes, time change, and boundary theory
af: Chen, Zhen-Qing
Udgivet: (2011)

Learning with kernels support vector machines, regularization, optimization, and beyond /
af: Schölkopf, Bernhard
Udgivet: (2002)

Machine learning with R /
af: Lantz, Brett
Udgivet: (2013)