Reinforcement learning : state-of-the-art
Material type: TextPublication details: New York Springer 2012Description: xxxiv, 638pISBN:- 9783642276446 (hb.)
- 006.31 WIE
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Plaksha University Library | Computer science | 006.31 WIE (Browse shelf(Opens below)) | Available | 002887 | ||
Book | Plaksha University Library | Computer science | 006.31 WIE (Browse shelf(Opens below)) | Available | 002888 |
Browsing Plaksha University Library shelves, Collection: Computer science Close shelf browser (Hides shelf browser)
006.31 SZE Algorithms for reinforcement learning | 006.31 SZE Algorithms for reinforcement learning | 006.31 WIE Reinforcement learning : state-of-the-art | 006.31 WIE Reinforcement learning : state-of-the-art | 006.312 AGG Data mining : the textbook | 006.312 AGG Data mining : the textbook | 006.312 BHA Data mining and data warehousing : principles and practical techniques |
https://link.springer.com/book/10.1007/978-3-642-27645-3#about
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade
There are no comments on this title.