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
AI Safety
Research ensuring AI is developed safely without harm
Feature Importance
Quantifying each input features contribution to predictions
Speech Synthesis
Converting written text into natural-sounding spoken audio
Prompt Engineering
Crafting effective inputs to guide AI model outputs
Federated Learning
Distributed ML training without sharing raw data
Multi-Agent System
System of interacting autonomous agents solving complex problems