Artificial Intelligence
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Reinforcement Learning
Quick Definition
Learning through trial and error with reward feedback
Full Definition
A type of ML where an agent learns to make decisions by maximizing cumulative reward through trial and error.
Examples
game AI, robotics, resource management
Related Terms
q-learning
policy-gradient
More Artificial Intelligence Terms
Named Entity Recognition
Identifying and classifying named entities in text
AI Benchmark
Standardized tests measuring AI model performance
AI Fairness
Ensuring AI decisions do not discriminate against groups
Adversarial Attack
Crafting inputs that fool AI models into wrong predictions
AI Safety
Research ensuring AI is developed safely without harm
Synthetic Data
Artificially generated data mimicking real-world distributions