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编程与计算机科学
机器学习
机器学习
4.强化学习和评估假设
4.强化学习和评估假设
Section outline
Select activity 4.1. 引言(Introduction)
4.1. 引言(Introduction)
Page
Select activity 4.2. 学习任务(Learning Task)
4.2. 学习任务(Learning Task)
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Select activity 4.3. Q 学习(Q LEARNING)
4.3. Q 学习(Q LEARNING)
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Select activity 4.3.1. Q 函数(The Q Function)
4.3.1. Q 函数(The Q Function)
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Select activity 4.3.2. Q 学习算法(An Algorithm for Learning Q)
4.3.2. Q 学习算法(An Algorithm for Learning Q)
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Select activity 4.3.3. 举例说明(An Illustrative Example)
4.3.3. 举例说明(An Illustrative Example)
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Select activity 4.3.4. 收敛性(Convergence)
4.3.4. 收敛性(Convergence)
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Select activity 4.3.5. 探索策略(Experimentation Strategies)
4.3.5. 探索策略(Experimentation Strategies)
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Select activity 4.4. 评估假设(Evaluating Hypotheses)
Select activity 4.4.1. 动机(Motivation)
4.4.1. 动机(Motivation)
Page
Select activity 4.4.2. 估计假设准确性(Estimating Hypothesis Accuracy)
4.4.2. 估计假设准确性(Estimating Hypothesis Accuracy)
Page
Select activity 4.4.3. 抽样理论基础(Basics of Sampling Theory)
Select activity 4.4.3.1. 误差估计与二项式比例估计(Error Estimation and Estimating Binomial Proportions)
4.4.3.1. 误差估计与二项式比例估计(Error Estimation and Estimating Binomial Proportions)
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Select activity 4.4.3.2. 二项式分布(The Binomial Distribution)
4.4.3.2. 二项式分布(The Binomial Distribution)
Page
Select activity 4.4.3.3. 估计量、偏差和方差(Estimators, Bias, and Variance)
4.4.3.3. 估计量、偏差和方差(Estimators, Bias, and Variance)
Page