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TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Paperback, Softcover reprint of the original 1st ed. 2013) Loot Price: R3,510
Discovery Miles 35 100
TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Paperback, Softcover reprint of...

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Paperback, Softcover reprint of the original 1st ed. 2013)

Todd Hester

Series: Studies in Computational Intelligence, 503

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Loot Price R3,510 Discovery Miles 35 100 | Repayment Terms: R329 pm x 12*

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This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. Robots have the potential to solve many problems in society, because of their ability to work in dangerous places doing necessary jobs that no one wants or is able to do. One barrier to their widespread deployment is that they are mainly limited to tasks where it is possible to hand-program behaviors for every situation that may be encountered. For robots to meet their potential, they need methods that enable them to learn and adapt to novel situations that they were not programmed for. Reinforcement learning (RL) is a paradigm for learning sequential decision making processes and could solve the problems of learning and adaptation on robots. This book identifies four key challenges that must be addressed for an RL algorithm to be practical for robotic control tasks. These RL for Robotics Challenges are: 1) it must learn in very few samples; 2) it must learn in domains with continuous state features; 3) it must handle sensor and/or actuator delays; and 4) it should continually select actions in real time. This book focuses on addressing all four of these challenges. In particular, this book is focused on time-constrained domains where the first challenge is critically important. In these domains, the agent’s lifetime is not long enough for it to explore the domains thoroughly, and it must learn in very few samples.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 503
Release date: September 2016
First published: 2013
Authors: Todd Hester
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Paperback
Pages: 165
Edition: Softcover reprint of the original 1st ed. 2013
ISBN-13: 978-3-319-37510-6
Categories: Books > Computing & IT > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-319-37510-5
Barcode: 9783319375106

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