Read TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503)

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503)

Todd Hester

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Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503). To get started finding TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 3319011677

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503). To get started finding TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503)

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains (Studies in Computational Intelligence, 503)

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