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
Precision Recall
Metrics measuring positive prediction quality and coverage
Model Selection
Choosing the best ML model from candidates
Boosting
Sequentially combining weak learners correcting previous errors
Overfitting
When a model learns training data noise and fails on new data
Contrastive Learning
Self-supervised learning by contrasting data pairs
Learning Rate
Hyperparameter controlling gradient descent step size