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
Multimodal AI
AI that processes and integrates multiple data types
AI Agent
Autonomous software taking goal-directed actions
AI Fairness
Ensuring AI decisions do not discriminate against groups
Reward Modeling
Training models to predict human preferences for RLHF
Retrieval-Augmented Generation
Combining LLMs with external knowledge for accurate responses
Explainable AI
AI that provides understandable explanations for decisions