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 Alignment
Ensuring AI systems act in accordance with human values
Red Teaming AI
Adversarial testing of AI models for vulnerabilities
Grounding
Connecting AI outputs to verifiable real-world sources
AI Fairness
Ensuring AI decisions do not discriminate against groups
Embedding
Learned vector representations of discrete objects in continuous space
Explainable AI
AI that provides understandable explanations for decisions