Description: Recent Advances in Reinforcement Learning, Hardcover by Kaelbling, Leslie Pack (EDT), ISBN 0792397053, ISBN-13 9780792397052, Like New Used, Free shipping in the US Reprinted from Machine Learning; An International Journal , , , 2, & 3, January/February/March 1996. Twelve contributions discuss the theoretical foundations of dynamic programming approaches, the role of prior knowledge, and methods for improving performance of reinforcement-learning techniques. A sampling of topics: linear least- squares algorithms for temporal difference learning; the loss from imperfect value functions in expectation-based and minimax-based tasks; and incremental multi-step Q-learning. Annotation c. by Book News, Inc., Portland, Or.
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Book Title: Recent Advances in Reinforcement Learning
Number of Pages: IV, 292 Pages
Publication Name: Recent Advances in Reinforcement Learning
Language: English
Publisher: Springer
Subject: Intelligence (Ai) & Semantics, General, System Theory
Publication Year: 1996
Type: Textbook
Item Weight: 46.2 Oz
Subject Area: Computers, Science
Author: Leslie Pack Kaelbling
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
