Machine Learning
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Reinforcement Learning ML
Quick Definition
Learning optimal decisions through environment interaction
Full Definition
A ML type where an agent learns optimal sequential decisions through environment interaction and rewards.
Examples
game AI, robotics control, resource optimization
Related Terms
q-learning
policy-gradient
More Machine Learning Terms
ROC Curve
Plot showing classifier performance across thresholds
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Clustering
Grouping similar data points based on feature similarity
Supervised Learning
Learning from labeled training data with input-output pairs
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Batch Normalization
Normalizing layer inputs to stabilize and speed up training