Lanean...

QR Kodea

Reinforcement Learning

Xehetasun bibliografikoak
Egile nagusia:	Richard S Sutton (ed)
Formatua:	Printed Book
Hizkuntza:	English
Argitaratua:	Boston Kluwer Academic 1992
Gaiak:	Reinforcement Learning > control theory-machine learning

Antzeko izenburuak

Learning: Reinforcement Theory
nork: Keller, Fred S.
Argitaratua: (1954)

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

Deep learning /
nork: Goodfellow, Ian, et al.
Argitaratua: (2016)

Introduction to machine learning /
nork: Alpaydin, Ethem
Argitaratua: (2005)

Machine learning : a concise introduction /
nork: Knox, Steven W.
Argitaratua: (2018)

Introduction to Machine Learning
nork: Ethem Alpaydin
Argitaratua: (2018)

introduction to machine learning
nork: Alpaydin, Ethem
Argitaratua: (2018)

Industrial applications of machine learning /
nork: Larrañaga, Pedro
Argitaratua: (2019)

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

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

Advances in machine learning applications in software engineering /
nork: Zhang, Du
Argitaratua: (2007)

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

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

Machine learning : an algorithmic perspective /
nork: Marsland, Stephen
Argitaratua: (2009)

Machine learning : an algorithmic perspective /
nork: Marsland, Stephen
Argitaratua: (2009)

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

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

Bioinformatics: the machine learning approach /
nork: Baldi, Pierre
Argitaratua: (2001)

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

Machine learning approaches to bioinformatics
nork: Yang, Zheng Rong; Author
Argitaratua: (2010)

Introduction to machine learning and bioinformatics /
nork: Mitra, Sushmita, Etc
Argitaratua: (2008)

Machine Learning: An Algorithmic Perspective
nork: Stephen Marsland
Argitaratua: (2009)

Evaluating learning algorithms a classification perspective
nork: Japkowicz, Nathalie
Argitaratua: (2011)

A concise introduction to machine learning /
nork: Faul, A. C.
Argitaratua: (2020)

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

Geometric computing for perception action systems
nork: Corrochano, Eduardo Bayro
Argitaratua: (2001)

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

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

Learning and reinforcement /
nork: Walker, Stephen
Argitaratua: (1975)

Machine Learning /
nork: Mitchell, Tom M. 1951- (Tom Michael)
Argitaratua: (1997)

Deep Learning
nork: Ian Goodfellow
Argitaratua: (2016)

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

Reinforced Concrete
nork: Malick
Argitaratua: (1993)

Reinforced concrete
nork: Faber, John
Argitaratua: (1965)

Reinforced concrete
nork: Mallik, S.K
Argitaratua: (1996)

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

Machine learning and security
nork: Chio, Clarence
Argitaratua: (2018)

Foundations of machine learning /
nork: Mohri, Mehryar
Argitaratua: (2012)

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

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