"Learning: reinforcement theory" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Learning: reinforcement theory	Fred Simmons Keller
Reinforcement Learning	Richard S. Sutton	1992	Springer US
Reinforcement Learning	Sutton, Barto	2018
Deep Reinforcement Learning	Aske Plaat	1st ed. 2022	Springer Nature Singapore
Learning and Reinforcement	Stephen F. Walker	1975	Methuen
Practical Reinforcement Learning	Farrukh Akhtar	2017	Packt Publishing
Reinforcement Learning: An Introduction	Richard S. Sutton; Andrew G. Barto	1998	MIT Press
Algorithms for Reinforcement Learning	Csaba Szepesvári		Springer International Publishing
Reinforcement Learning - An Introduction	Richard S. Sutton, Andrew G. Barto	1998	Mit Press
Algorithms for reinforcement learning	Csaba Szepesvári	2010	Morgan & Claypool
Grokking Deep Reinforcement Learning	Miguel Morales	2020	Manning Publications
Advances in Reinforcement Learning	Abdelhamid Mellouk	2011-01-14	IntechOpen
Python Reinforcement Learning Projects	Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani	2018	Packt Publishing
Reinforcement Learning: An Introduction	Richard S. Sutton; Andrew G Barto	2018	Bradford Book
Foundations of Deep Reinforcement Learning: Theory and Practice in Python	Laura Graesser, Wah Loon Keng	2019	Addison-Wesley Professional
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-on Reinforcement Learning with Python. Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow	Sudharsan Ravichandiran	2018	Packt
Hands-On Reinforcement Learning with Python: Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow	Ravichandiran, Sudharsan	2018;2019	Packt Publishing Ltd
Learning to Play: Reinforcement Learning and Games	Aske Plaat	1st ed. 2020	Springer International Publishing
Transfer Learning for Multiagent Reinforcement Learning Systems	Felipe Leno Silva; Anna Helena Reali Costa		Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Reinforcement Learning Theory	Philip Osborne; Kajal Singh; Matthew E. Taylor	Applying Reinforcement Learning on Real-World Data with Practical Examples in Python	Philip Osborne; Kajal Singh; Matthew E. Taylor		Springer International Publishing
Reinforcement Learning Theory		Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow	Anirudh Koul, Siddha Ganju, Meher Kasam	2019	O'Reilly Media
Reinforcement Learning Theory		Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow	Anirudh Koul, Siddha Ganju, Meher Kasam	2019	O'Reilly Media
LEARNING AND REINFORCEMENT THEORY	STEVEN ALTMAN; ENZO VALENZI; RICHARD M. HODGETTS	Organizational Behavior	Steven Altman; Enzo Valenzi and Richard M. Hodgetts	1985	Academic Press
Essential Theory of Reinforcement Learning		Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence	Jon Krohn, Grant Beyleveld, Aglaé Bassens	2018	Addison-Wesley Professional
Reinforcement Learning	Oliver Kramer	Computational Intelligence: Eine Einführung	Oliver Kramer	2009	Springer Berlin Heidelberg
Reinforcement Learning	S. Bhatnagar; H. Prasad; L. Prashanth	Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods	S. Bhatnagar; H.L. Prasad; L.A. Prashanth	2013	Springer London
Reinforcement Learning	Peter Stone	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Reinforcement Learning	Verena Rieser; Oliver Lemon	Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation	Verena Rieser; Oliver Lemon	2011	Springer Berlin Heidelberg
Reinforcement Learning		Encyclopedia of Operations Research and Management Science	Saul I. Gass; Michael C. Fu	3rd ed. 2013	Springer US
Reinforcement Learning	Miroslav Kubat	An Introduction to Machine Learning	Miroslav Kubat	1st ed. 2015	Springer International Publishing
Reinforcement Learning	Luis R. Izquierdo; Segismundo S. Izquierdo	Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Reinforcement Learning	Sebastian Thrun	Explanation-Based Neural Network Learning: A Lifelong Learning Approach	Sebastian Thrun	1996	Springer US
Reinforcement Learning	Shimon Whiteson	Adaptive Representations for Reinforcement Learning	Shimon Whiteson	2011	Springer Berlin Heidelberg
Reinforcement Learning	Miroslav Kubat	An Introduction to Machine Learning	Miroslav Kubat	2nd ed. 2017	Springer International Publishing
Reinforcement learning	Guillaume Coqueret; Tony Guida	Machine Learning for Factor Investing: R Version	Guillaume Coqueret; Tony Guida	2020	Routledge
Reinforcement Learning	Robert H. Chen; Chelsea Chen	Artificial Intelligence: An Introduction for the Inquisitive Reader	Robert H. Chen; Chelsea C. Chen	2022	Routledge
Reinforcement Learning	Mark Chang	Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare	Mark Chang	2020	Routledge
Reinforcement Learning	Ke-Lin Du; M. N. S. Swamy	Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Reinforcement Learning	Eyal Even-Dar	Encyclopedia of Algorithms	Ming-Yang Kao	2nd ed. 2016	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries