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
DBSCAN
Density-based clustering finding clusters of varying shapes
Cross-Validation
Evaluating model performance with multiple data splits
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Overfitting
When a model learns training data noise and fails on new data
Ensemble Learning
Combining multiple models for better predictions