Item description for Supervised Reinforcement Learning - Application to an Embodied Mobile Robot by Karla Conn...
Can machines be taught? If so, what methods are useful for teaching machines? Machine learning is a field focused on systems that can learn through their own experiences and evaluation. Programmers could encode all behaviors for a task, but this process quickly becomes limited to condensed problems. Therefore, scientists have turned to methods with adaptability, taking cues from biological systems (including the human brain) to solve more complex problems in varied environments. This book describes two experiments implementing supervised reinforcement learning on a real, mobile robot. One tests the robot's reliability in completing a navigation task it has been taught by a supervisor. The other, in which obstacles are placed along the path to the goal, measures the robot's robustness to changes in environment. Experimental analysis answered: How quickly can the robot find the goal? How much reward does the robot amass? How often does the robot fail in the task? How closely does the robot match the supervisor's actions? This book is addressed to those looking for means to teach robots about rewards/punishments, such as researchers in Robotics, Machine Learning, and Engineering.
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Est. Packaging Dimensions: Length: 9.4" Width: 6.5" Height: 0.4" Weight: 0.4 lbs.
Release Date Sep 12, 2007
Publisher VDM Verlag Dr. Mueller e.K.
ISBN 3836428067 ISBN13 9783836428064
Availability 58 units. Availability accurate as of Jan 24, 2017 06:45.
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Reviews - What do customers think about Supervised Reinforcement Learning - Application to an Embodied Mobile Robot?
Best. Book. On. Robotics. EVER. Nov 5, 2007
Every now and again, a work is published that sends shockwaves through the intellectual community, rocking the foundation of knowledge with an earthquake of learning and treacherous rock slides of unmitigated truth. This is one such work.
Unequivocably enlightened in her approach, the author presents her research as a gift to all those who suckle upon its profundity. If you have ever wondered about the limitations of artificial intelligence, you must read this book. If you have ever built or seen or thought about a robot, you must read this book. If you have ever breathed air, YOU MUST READ THIS BOOK.
Per the reading level this site has subscribed to this veritable masterpiece, I recommend -- nay, urge -- nay, DEMAND AT KNIFEPOINT -- that all 9-to-12-year-olds read this glorious tome and be nourished by its life-giving truth.