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Více informací o knize Adaptive Representations for Reinforcement Learning

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Anotace knihy

This book presents the main results new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks an effective control policy for tackling a sequential decision task. Unlike in supervised learning, the agent never sees examples of correct or incorrect behavior but receives only a reward signal as feedback. This book also introduces a novel method for devising input representations. In particular, it presents a way to find a minimal set of features sufficient to describe the agent s current state, a challenge known as the feature selection problem. In addition to introducing these new methods, this book presents extensive empirical results in multiple domains demonstrating that these techniques can substantially§improve performance over methods with manual representations.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Adaptive Representations for Reinforcement Learning
• Autor: Shimon Whiteson
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 116
• EAN: 9783642139314
• ISBN: 3642139310
• ID: 01656109
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 396 g
• Rozměry: 235 × 155 × 13 mm
• Datum vydání: 05. October 2010

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