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Reinforcement Learning

Bibliografiske detaljer
Hovedforfatter:	Richard S Sutton (ed)
Format:	Printed Book
Sprog:	English
Udgivet:	Boston Kluwer Academic 1992
Fag:	Reinforcement Learning > control theory-machine learning

Lignende værker

Learning: Reinforcement Theory
af: Keller, Fred S.
Udgivet: (1954)

Deep reinforcement learning hands-on : Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo zero and more
af: Lapan, Maxim
Udgivet: (2018)

Deep learning /
af: Goodfellow, Ian, et al.
Udgivet: (2016)

Introduction to machine learning /
af: Alpaydin, Ethem
Udgivet: (2005)

Machine learning : a concise introduction /
af: Knox, Steven W.
Udgivet: (2018)

Introduction to Machine Learning
af: Ethem Alpaydin
Udgivet: (2018)

introduction to machine learning
af: Alpaydin, Ethem
Udgivet: (2018)

Industrial applications of machine learning /
af: Larrañaga, Pedro
Udgivet: (2019)

Machine learning refined : foundations, algorithms, and applications /
af: Watt, Jeremy, et al.
Udgivet: (2017)

The elements of statistical learning: data mininig,inference,and prediction
af: Hastie, Trevor
Udgivet: (2001)

Advances in machine learning applications in software engineering /
af: Zhang, Du
Udgivet: (2007)

Handbook of statistics. Vol.31: Machine learning: theory and applications
af: Ed by Rao,C.R
Udgivet: (2013)

Machine learning: the art and science of algorithms that make sense of Data
af: Flach, Peter
Udgivet: (2012)

Machine learning : an algorithmic perspective /
af: Marsland, Stephen
Udgivet: (2009)

Machine learning : an algorithmic perspective /
af: Marsland, Stephen
Udgivet: (2009)

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

Elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations /
af: Hastie, Trevor
Udgivet: (2001)

Bioinformatics: the machine learning approach /
af: Baldi, Pierre
Udgivet: (2001)

Introduction to Machine Learning and Bioinformatics /
Udgivet: (2008)

Machine learning approaches to bioinformatics
af: Yang, Zheng Rong; Author
Udgivet: (2010)

Introduction to machine learning and bioinformatics /
af: Mitra, Sushmita, Etc
Udgivet: (2008)

Machine Learning: An Algorithmic Perspective
af: Stephen Marsland
Udgivet: (2009)

Evaluating learning algorithms a classification perspective
af: Japkowicz, Nathalie
Udgivet: (2011)

A concise introduction to machine learning /
af: Faul, A. C.
Udgivet: (2020)

Hands-on reinforcement learning with Python : Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
af: Ravichandiran, Sudharsan
Udgivet: (2018)

Geometric computing for perception action systems
af: Corrochano, Eduardo Bayro
Udgivet: (2001)

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time
af: Angelov, Plamen
Udgivet: (2013)

Reinforcement learning for cyber-physical systems with cybersecurity case studies /
af: Li, Chong
Udgivet: (2019)

Learning and reinforcement /
af: Walker, Stephen
Udgivet: (1975)

Machine Learning /
af: Mitchell, Tom M. 1951- (Tom Michael)
Udgivet: (1997)

Deep Learning
af: Ian Goodfellow
Udgivet: (2016)

elements of statistical learning: data mining, inference, and prediction
af: Hastie, Trevor
Udgivet: (2001)

Reinforced Concrete
af: Malick
Udgivet: (1993)

Reinforced concrete
af: Faber, John
Udgivet: (1965)

Reinforced concrete
af: Mallik, S.K
Udgivet: (1996)

Machine learning : algorithms and applications /
af: Mohammed, Mohssen

Machine learning and security
af: Chio, Clarence
Udgivet: (2018)

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

Graph-based semi-supervised learning /
af: Subramanya, Amarnag, et al.
Udgivet: (2014)

Graph-based semi-supervised learning /
af: Subramanya, Amarnag, et al.
Udgivet: (2014)