Reinforcement Learning of Bimanual Robot Skills, Colomй Adriа, Torras Carme

Автор: Lapan Maxim
Название: Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
ISBN: 1788834240 ISBN-13(EAN): 9781788834247
Издательство: Неизвестно
Рейтинг:
Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a practical, developer-oriented introduction to deep reinforcement learning (RL). Explore the theoretical concepts of RL, before discovering how deep learning (DL) methods and tools are making it possible to solve more complex and challenging problems than ever before. Apply deep RL methods to training your agent to beat arcade ...

Автор: Lutz Frommberger
Название: Qualitative Spatial Abstraction in Reinforcement Learning
ISBN: 3642266002 ISBN-13(EAN): 9783642266003
Издательство: Springer
Рейтинг:
Цена: 107130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforcement learning has evolved to tackle domains that are yet to be fully understood, or are too complex for a closed description. In this book the author investigates whether suitable abstraction methods can overcome the discipline`s deficiencies.

Автор: Szepesvari Csaba
Название: Algorithms for Reinforcement Learning
ISBN: 1681732130 ISBN-13(EAN): 9781681732138
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 59080.00 T
Наличие на складе: Невозможна поставка.
Описание: Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. This book focuses on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming.

Автор: Colome Adria, Torras Carme
Название: Reinforcement Learning of Bimanual Robot Skills
ISBN: 3030263258 ISBN-13(EAN): 9783030263256
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process.

Автор: Mohit Sewak
Название: Deep Reinforcement Learning
ISBN: 9811382875 ISBN-13(EAN): 9789811382871
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Поставка под заказ.
Описание: This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications.

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642018815 ISBN-13(EAN): 9783642018817
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforcement Learning Background.- Related Work.- Empirical Domains.- Value Function Transfer via Inter-Task Mappings.- Extending Transfer via Inter-Task Mappings.- Transfer between Different Reinforcement Learning Methods.- Learning Inter-Task Mappings.- Conclusion and Future Work.

Автор: Matthew Taylor
Название: Transfer in Reinforcement Learning Domains
ISBN: 3642101860 ISBN-13(EAN): 9783642101861
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.

Автор: Ravichandiran Sudharsan
Название: Hands-On Reinforcement Learning with Python
ISBN: 1788836529 ISBN-13(EAN): 9781788836524
Издательство: Неизвестно
Цена: 47810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reinforcement learning is a self-evolving type of machine learning that takes us closer to achieving true artificial intelligence. This easy-to-follow guide explains everything from scratch using rich examples written in Python.

Автор: Yinyan Zhang; Shuai Li; Xuefeng Zhou
Название: Deep Reinforcement Learning with Guaranteed Performance
ISBN: 3030333868 ISBN-13(EAN): 9783030333867
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Поставка под заказ.
Описание: This book is devoted to the description of the most widely used classifications of the most frequent fractures in clinical practice. For each type of fracture one or several classifications are described.This edition will include new classifications and classifications that have gained popularity in the last 3 years, resulting in 25% new material.

Автор: Kathryn E. Merrick; Mary Lou Maher
Название: Motivated Reinforcement Learning
ISBN: 364210035X ISBN-13(EAN): 9783642100352
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended, virtual world.

Автор: Todd Hester
Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains
ISBN: 3319375105 ISBN-13(EAN): 9783319375106
Издательство: Springer
Рейтинг:
Цена: 104480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.

Автор: Balakrishnan Kaushik
Название: TensorFlow Reinforcement Learning Quick Start Guide
ISBN: 1789533589 ISBN-13(EAN): 9781789533583
Издательство: Неизвестно
Рейтинг:
Цена: 33090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of algorithms such as Deep Q-Network (DQN), Deep Deterministic Policy Gradients (DDPG), and ...