A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning - Foundations and Trends (R) in Machine Learning - Alborz Geramifard - Books - now publishers Inc - 9781601987600 - December 19, 2013
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Alborz Geramifard
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning - Foundations and Trends (R) in Machine Learning

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A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This book reviews such algorithms.

92 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 19, 2013
ISBN13 9781601987600
Publishers now publishers Inc
Pages 92
Dimensions 156 × 234 × 5 mm   ·   140 g
Language English  

See all of Alborz Geramifard ( e.g. Paperback Book )