| 청구기호 |
QA76.9.M35 |
| 판사항 |
1st ed. 2007.
|
| 형태사항 |
XX, 566 p. 119 illus. With 212 Problems. online resource.
|
| 언어 |
English |
| 내용 |
Four Disciplines in Learning and Optimization -- Perturbation Analysis -- Learning and Optimization with Perturbation Analysis -- Markov Decision Processes -- Sample-Path-Based Policy Iteration -- Reinforcement Learning -- Adaptive Control Problems as MDPs -- The Event-Based Optimization - A New Approach -- Event-Based Optimization of Markov Systems -- Constructing Sensitivity Formulas.
|
| 주제 |
Computer science—Mathematics.
Engineering design.
Control engineering.
Artificial intelligence.
Calculus of variations.
Probabilities.
Discrete Mathematics in Computer Science. --https://scigraph.springernature.com/ontologies/product-market-codes/I17028
Engineering Design. --https://scigraph.springernature.com/ontologies/product-market-codes/T17020
Control and Systems Theory. --https://scigraph.springernature.com/ontologies/product-market-codes/T19010
Artificial Intelligence. --https://scigraph.springernature.com/ontologies/product-market-codes/I21000
Calculus of Variations and Optimal Control; Optimization. --https://scigraph.springernature.com/ontologies/product-market-codes/M26016
Probability Theory and Stochastic Processes. --https://scigraph.springernature.com/ontologies/product-market-codes/M27004
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9780387515298
Printed edition: 9781441942227
Printed edition: 9780387367873
|
| ISBN |
9780387690827 |
| 기타 표준번호 |
10.1007/978-0-387-69082-7 |
| QR CODE |
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