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Andrew ng Machine Learning course 17 (2)

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Andrew ng Machine Learning course 17 (2)

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Description: This paper mainly introduces the use of value iteration and policy iteration two kinds of iterative algorithms to solve MDP problem, also introduced in practical application how to accumulate "experience" to update the transfer probability and reward estimation of the learning model, Combined with two kinds of iterative algorithm to solve the complete process.




2015-10-11 Less Art

Copyright NOTICE: This article for Bo Master original article, reprint please indicate source http://blog.csdn.net/lg1259156776/.

Andrew ng Machine Learning course 17 (2)

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