Self-learning control of finite Markov chains
著者
書誌事項
Self-learning control of finite Markov chains
（Control engineering series, 4）
M. Dekker, c2000
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly.
目次
- Controlled Markov chains. Unconstrained Markov chains: Lagrange multipliers approach
- penalty function approach
- projection gradient method. Constrained Markov chains: Lagrange multipliers approach
- penalty function approach
- nonregular Markov chains
- practical aspects.
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