Training in which a system learns by trial and error: it takes actions in an environment, receives rewards or penalties, and adjusts to earn more reward over time.
See also
- Reinforcement learning from human feedback
A training method in which people rank a model's answers, a separate reward model learns to predict their preferences, and the main model is then tuned with reinforcement learning toward the answers people prefer.
- Reward hacking
When a model trained with rewards finds a way to score well that its designers did not intend, such as gaming a test instead of solving the task.
- Reasoning model
A model trained to work through a problem in steps before it answers, spending more test-time compute on problems such as math, coding and analysis.
Cite this term.
CC BY 4.0, attribution required.
Orbyt Labs, Reinforcement learning (AI Glossary), Oct 18, 2026. https://www.orbytlabs.ai/orbyt-collective/glossary/reinforcement-learning
Orbyt Labs Glossaries (Oct 19, 2026), https://www.orbytlabs.ai/glossary#dataset
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