Reinforcement Learning
RLAlso called: RL
A machine learning paradigm where an agent learns to make optimal decisions by taking actions in an environment to maximize cumulative rewards.
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Related terms
A machine learning alignment technique that optimizes model behavior based on preferences gathered from human evaluators.
Reinforcement Learning from AI FeedbackRLAIFA fine-tuning method that optimizes model behavior using feedback generated by another AI system rather than human annotators.
Online LearningA learning approach in which an AI system continuously updates its behavior or model using newly available data during operation.
Continual LearningA learning approach in which an AI system continuously acquires new knowledge and skills over time while retaining previously learned capabilities.
Preference LearningA learning approach in which an AI system learns from preferences between possible outputs or actions to better align its behavior with desired outcomes.