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 Ethics
Study of moral implications in AI development
AI Chip
Specialized hardware for accelerating AI computation
AutoML
Automation of the machine learning pipeline
AI Agent
Autonomous software taking goal-directed actions
Prompt Engineering
Crafting effective inputs to guide AI model outputs
Feature Importance
Quantifying each input features contribution to predictions