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
Model Selection
Choosing the best ML model from candidates
Regularization
Techniques constraining model complexity to prevent overfitting
Backpropagation
Algorithm computing gradients for neural network weight updates
K-Nearest Neighbors
Classifying based on majority class of k nearest neighbors
Supervised Learning
Learning from labeled training data with input-output pairs
Underfitting
When a model is too simple to capture data patterns