Stochastic Learning and Optimization / Cao, Xi-Ren
Tác giả : Cao, Xi-Ren
Nhà xuất bản : Springer
Năm xuất bản : 2007
Mô tả vật lý : 575 p.
Số phân loại : 005.432
Chủ đề : 1. Computer Science. 2. Book.
Thông tin chi tiết
Tóm tắt : | Stochastic learning and optimization is a multidisciplinary subject that has wide applications in modern engineering, social, and financial problems, including those in Internet and wireless communications, manufacturing, robotics, logistics, biomedical systems, and investment science. This book is unique in the following aspects. (Four areas in one book) This book covers various disciplines in learning and optimization, including perturbation analysis (PA) of discrete-event dynamic systems, Markov decision processes (MDP)s), reinforcement learning (RL), and adaptive control, within a unified framework. (A simple approach to MDPs) This book introduces MDP theory through a simple approach based on performance difference formulas. This approach leads to results for the n-bias optimality with long-run average-cost criteria and Blackwell's optimality without discounting. (Event-based optimization) This book introduces the recently developed event-based optimization approach, which opens up a research direction in overcoming or alleviating the difficulties due to the curse of dimensionality issue by utilizing the system's special features. (Sample-path construction) This book emphasizes physical interpretations based on the sample-path construction. |
Thông tin dữ liệu nguồn
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Đại học quốc gia Hà Nội |
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https://repository.vnu.edu.vn/handle/VNU_123/24507 |