Reinforcement Learning in Robotics and Autonomous Systems: The State of the Art - Tapa blanda

N S Usha, Dr; G M Karpuradheepan, Dr; N Srinivasan, Dr

9786208434175: Reinforcement Learning in Robotics and Autonomous Systems: The State of the Art

Tapa blanda

ISBN 10: 6208434173 ISBN 13: 9786208434175

Editorial: LAP Lambert Academic Publishing, 2025

Ver todas las copias de esta edici�n del ISBN

0 Usado

11 Nuevo

De EUR 60,05

Reinforcement Learning (RL) has emerged as a transformative approach in the field of autonomous systems, enabling intelligent decision making and control in robotics, self-driving cars, healthcare, industrial automation, and smart infrastructure. Throughout this discussion, we have explored the fundamental concepts, methodologies, challenges, and real world applications of RL in autonomous systems, highlighting both its potential and its limitations. The application of RL in robotics and autonomous systems is underpinned by Markov Decision Processes (MDPs), which provide a structured framework for sequential decision making. The development of value based methods, such as Deep Q Networks (DQN), and policy-based approaches, such as Policy Gradient and Actor Critic methods, has enabled robots and autonomous agents to learn complex behaviors through trial and error. Moreover, model free and model based RL techniques offer different trade offs in terms of sample efficiency and adaptability, paving the way for more versatile and practical learning based controllers.

"Sinopsis" puede pertenecer a otra edici�n de este libro.

EditorialLAP Lambert Academic Publishing
A�o de publicaci�n2025
ISBN 10 6208434173
ISBN 13 9786208434175
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas100
Contacto del fabricanteno disponible

Comprar nuevo

Ver este art�culo

EUR 60,05

Convertir moneda

EUR 4,72 gastos de env�o desde Reino Unido a Espa�a

Destinos, gastos y plazos de env�o

A�adir al carrito

Resultados de la b�squeda para Reinforcement Learning in Robotics and Autonomous Systems:...

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems: The State of the Art

N.S.Usha, Dr.; G.M.KarpuraDheepan, Dr.; N.Srinivasan, Dr.

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Tapa blanda

Librería: Ria Christie Collections, Uxbridge, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. In. N� de ref. del art�culo: ria9786208434175_new

Contactar al vendedor

Comprar nuevo

EUR 60,05

Convertir moneda

Gastos de env�o: EUR 4,72

De Reino Unido a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems

N. S. Usha

Publicado por LAP LAMBERT Academic Publishing M�r 2025, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Taschenbuch

Impresi�n bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Englisch. N� de ref. del art�culo: 9786208434175

Contactar al vendedor

Comprar nuevo

EUR 60,90

Convertir moneda

Gastos de env�o: EUR 11,00

De Alemania a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems: The State of the Art

N.S.Usha, Dr.; G.M.KarpuraDheepan, Dr.; N.Srinivasan, Dr.

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Tapa blanda

Librería: California Books, Miami, FL, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. N� de ref. del art�culo: I-9786208434175

Contactar al vendedor

Comprar nuevo

EUR 65,05

Convertir moneda

Gastos de env�o: EUR 7,02

De Estados Unidos de America a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems : The State of the Art

N. S. Usha

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Taschenbuch

Impresi�n bajo demanda

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. N� de ref. del art�culo: 9786208434175

Contactar al vendedor

Comprar nuevo

EUR 61,63

Convertir moneda

Gastos de env�o: EUR 11,99

De Alemania a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen del vendedor

Reinforcement Learning in Robotics and Autonomous Systems

N. S. Usha

Publicado por LAP LAMBERT Academic Publishing M�r 2025, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Taschenbuch

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -Reinforcement Learning (RL) has emerged as a transformative approach in the field of autonomous systems, enabling intelligent decision making and control in robotics, self-driving cars, healthcare, industrial automation, and smart infrastructure. Throughout this discussion, we have explored the fundamental concepts, methodologies, challenges, and real world applications of RL in autonomous systems, highlighting both its potential and its limitations. The application of RL in robotics and autonomous systems is underpinned by Markov Decision Processes (MDPs), which provide a structured framework for sequential decision making. The development of value based methods, such as Deep Q Networks (DQN), and policy-based approaches, such as Policy Gradient and Actor Critic methods, has enabled robots and autonomous agents to learn complex behaviors through trial and error. Moreover, model free and model based RL techniques offer different trade offs in terms of sample efficiency and adaptability, paving the way for more versatile and practical learning based controllers.Books on Demand GmbH, �berseering 33, 22297 Hamburg 100 pp. Englisch. N� de ref. del art�culo: 9786208434175

Contactar al vendedor

Comprar nuevo

EUR 60,90

Convertir moneda

Gastos de env�o: EUR 35,00

De Alemania a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems (Paperback)

Dr N.S. Usha

Publicado por LAP Lambert Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Paperback

Librería: AussieBookSeller, Truganina, VIC, Australia

Calificaci�n del vendedor: 3 de 5 estrellas

Paperback. Condici�n: new. Paperback. Reinforcement Learning (RL) has emerged as a transformative approach in the field of autonomous systems, enabling intelligent decision making and control in robotics, self-driving cars, healthcare, industrial automation, and smart infrastructure. Throughout this discussion, we have explored the fundamental concepts, methodologies, challenges, and real world applications of RL in autonomous systems, highlighting both its potential and its limitations. The application of RL in robotics and autonomous systems is underpinned by Markov Decision Processes (MDPs), which provide a structured framework for sequential decision making. The development of value based methods, such as Deep Q Networks (DQN), and policy-based approaches, such as Policy Gradient and Actor Critic methods, has enabled robots and autonomous agents to learn complex behaviors through trial and error. Moreover, model free and model based RL techniques offer different trade offs in terms of sample efficiency and adaptability, paving the way for more versatile and practical learning based controllers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de ref. del art�culo: 9786208434175

Contactar al vendedor

Comprar nuevo

EUR 65,57

Convertir moneda

Gastos de env�o: EUR 32,45

De Australia a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 1 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems

N.S.Usha, Dr.; G.M.KarpuraDheepan, Dr.; N.Srinivasan, Dr.

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Tapa blanda

Librería: Books Puddle, New York, NY, Estados Unidos de America

Calificaci�n del vendedor: 4 de 5 estrellas

Condici�n: New. N� de ref. del art�culo: 26404102672

Contactar al vendedor

Comprar nuevo

EUR 91,41

Convertir moneda

Gastos de env�o: EUR 10,09

De Estados Unidos de America a Espa�a

Destinos, gastos y plazos de env�o

Cantidad disponible: 4 disponibles

A�adir al carrito

Imagen de archivo

Reinforcement Learning in Robotics and Autonomous Systems (Paperback)

Dr N.S. Usha

Publicado por LAP Lambert Academic Publishing, 2025

ISBN 10: 6208434173 ISBN 13: 9786208434175

Nuevo Paperback

Librería: CitiRetail, Stevenage, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Paperback. Condici�n: new. Paperback. Reinforcement Learning (RL) has emerged as a transformative approach in the field of autonomous systems, enabling intelligent decision making and control in robotics, self-driving cars, healthcare, industrial automation, and smart infrastructure. Throughout this discussion, we have explored the fundamental concepts, methodologies, challenges, and real world applications of RL in autonomous systems, highlighting both its potential and its limitations. The application of RL in robotics and autonomous systems is underpinned by Markov Decision Processes (MDPs), which provide a structured framework for sequential decision making. The development of value based methods, such as Deep Q Networks (DQN), and policy-based approaches, such as Policy Gradient and Actor Critic methods, has enabled robots and autonomous agents to learn complex behaviors through trial and error. Moreover, model free and model based RL techniques offer different trade offs in terms of sample efficiency and adaptability, paving the way for more versatile and practical learning based controllers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9786208434175

Contactar al vendedor