Reinforcement learning trains an agent to choose actions that maximize cumulative reward through interaction with an environment.
AI Glossary
Reinforcement Learning
Coverage in development
Reinforcement learning trains an agent to choose actions that maximize cumulative reward through interaction with an environment.
Definition
Plain English explanation
The system learns by trial and feedback: good actions get rewarded, poor ones get less reward over time.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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