Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation

Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation
Author: Julia Vinogradska
Publisher:
Total Pages:
Release: 2018
Genre:
ISBN:


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Gaussian Processes in Reinforcement Learning: Stability Analysis and Efficient Value Propagation
Language: en
Pages:
Authors: Julia Vinogradska
Categories:
Type: BOOK - Published: 2018 - Publisher:

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Efficient Reinforcement Learning Using Gaussian Processes
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Pages: 226
Authors: Marc Peter Deisenroth
Categories: Electronic computers. Computer science
Type: BOOK - Published: 2010 - Publisher: KIT Scientific Publishing

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This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fu
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Language: en
Pages: 266
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Categories: Computers
Type: BOOK - Published: 2005-11-23 - Publisher: MIT Press

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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machi
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Pages: 549
Authors: Richard S. Sutton
Categories: Computers
Type: BOOK - Published: 2018-11-13 - Publisher: MIT Press

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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig
Artificial Intelligence and Statistics
Language: en
Pages: 440
Authors: William A. Gale
Categories: Computers
Type: BOOK - Published: 1986 - Publisher: Addison Wesley Publishing Company

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A statistical view of uncertainty in expert systems. Knowledge, decision making, and uncertainty. Conceptual clustering and its relation to numerical taxonomy.