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Reinforcement Learning
Fundamentals

What it is

Learning to act via trial and error to maximize cumulative reward in an environment.

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Related terms

Machine Learning
Supervised Learning
Unsupervised Learning
Bias-Variance Tradeoff
Classification
Clustering
Dimensionality Reduction
Model Selection
Overfitting
Regression