Description: Learning in Embedded Systems Hardcover Leslie Pack Kaelbling Bradford Books / MIT PressLearning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial-and error experience with an external world. It is the first detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behavior to a complex, changing environment; such systems include mobile robots, factory process controllers, and long-term software databases.Kaelbling investigates a rapidly expanding branch of machine learning known as reinforcement learning, including the important problems of controlled exploration of the environment, learning in highly complex environments, and learning from delayed reward. She reviews past work in this area and presents a number of significant new results. These include the intervalestimation algorithm for exploration, the use of biases to make learning more efficient in complex environments, a generate-and-test algorithm that combines symbolic and statistical processing into a flexible learning method, and some of the first reinforcement-learning experiments with a real robot. Like NewHardcover with a very good Dust Jacket
Price: 28.5 USD
Location: Boston, Massachusetts
End Time: 2024-12-03T15:37:16.000Z
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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
Country/Region of Manufacture: United States
Educational Level: College, University, Vocational School
Level: Beginner, Intermediate, Advanced, Technical
Number of Pages: 194 Pages
Publication Name: Learning in Embedded Systems
Language: English
Publisher: MIT Press
Item Height: 0.7 in
Publication Year: 1993
Subject: Programming / Algorithms, Hardware / General, Intelligence (Ai) & Semantics
Type: Textbook
Item Weight: 15.3 Oz
Author: Leslie P. Kaelbling
Item Length: 9.3 in
Subject Area: Computers
Item Width: 6.4 in
Series: Cognitive Science-Ai-Adaptive Behavior Ser.
Format: Hardcover
