|Statement||Ya. Z. Tsypkin ; translated by Z. J. Nikolic.|
|Series||Mathematics in science and engineering -- v. 101|
|The Physical Object|
|Pagination||xiii, 205 p. :|
|Number of Pages||205|
Foundations of the theory of learning systems. [I︠A︡ Z T︠S︡ypkin] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Search for a Library. Create Book\/a>, schema:CreativeWork\/a> ; \u00A0\u00A0\u00A0 . Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work.5/5(8). Get this from a library! Foundations of the theory of learning systems. [I︠A︡ Z T︠S︡ypkin] -- Foundations of the theory of learning systems. learning antenna systems, perceptrons, adaptive control systems, etc., without getting lost in details. This is the most compact diverse book on learning algorithms knownAuthor: Lee Davisson.
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