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
Regularization
Techniques constraining model complexity to prevent overfitting
AdaBoost
Combining weak classifiers with adaptive sample weighting
Batch Normalization
Normalizing layer inputs to stabilize and speed up training
LightGBM
Fast gradient boosting framework using histogram splitting
Cross-Validation
Evaluating model performance with multiple data splits
Data Augmentation
Artificially increasing training data through modified copies