Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability

by Marcus Hutter

Book Overview

This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environment, the latter is suited for passive prediction in unknown environment. The book introduces these two different ideas and removes the limitations by unifying them to one parameter-free theory of an optimal reinforcement learning agent embedded in an unknown environment. Most AI problems...

• Format: Paperback
• Language: English
• ISBN: 3642060528
• ISBN13: 9783642060526
• Release Date: November 2010
• Publisher: Springer
• Length: 278 Pages
• Weight: 0.94 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"