Temporal Difference Learning : Reinforcement learning, Monte Carlo method, Dynamic programming, Bootstrap aggregating, Bellman equation

Language: English

Published by Omniscriptum, 2026

6139274524 / 9786139274529

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nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Temporal difference (TD) learning is a prediction method. It has been mostly used for solving the reinforcement learning problem. 'TD learning is a combination of Monte Carlo ideas and dynamic programming (DP) ideas.' TD resembles a Monte Carlo method because it learns by sampling the environment according to some policy. TD is related to dynamic programming techniques because it approximates its current estimate based on previously learned estimates (a process known as bootstrapping). The TD learning algorithm is related to the temporal difference model of animal learning.

Seller Inventory # 9786139274529

Title
Temporal Difference Learning : Reinforcement learning, Monte Carlo method, Dynamic programming, Bootstrap aggregating, Bellman equation
Author
Klaas Apostol
Publisher
Omniscriptum
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139274524
ISBN 13
9786139274529
Item weight
161 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

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