Definition · foundations
feedback learning
feedback learning is a way to improve later choices by using signals from past results. You can spot feedback learning in practice when the record shows what the system observes, what choice it makes, and what changes next, without asking the reader to guess or trust a slogan.
157 definitions656 sourced recordsNamed source: ACL Anthology
Why does feedback learning matter?
Past outcomes can improve future choices only when the signal is tied to the right action and does not reward a shortcut. For feedback learning, start with three checks: What can the system observe? What choice can it make? What changes after it acts? The answers should point to visible evidence, not a promise.
What does feedback learning look like?
A routing system learns from whether specialists accepted or returned the tasks it assigned. This example makes feedback learning visible by naming the actor, the action, and the result in practice. It is an illustration for readers, not a claim that every product behaves this way.
What is feedback learning easy to confuse with?
Feedback learning changes later behavior from results. Reflection changes the current run after reviewing earlier work. The closest entries here are excessive agency, freshness window, feedback-learning workflow. Compare their definitions with feedback learning before using the names as if they mean the same thing. That comparison keeps feedback learning separate from nearby ideas without pretending the boundary is always perfect.
How certain is this definition?
This definition is marked source checked because ACL Anthology supports its main points. The date shows when we last read that source. If you are making a purchase, policy, safety, or design decision, open the source first and make sure its limits fit the decision in front of you.
Who introduced the term feedback learning?
The source shows how feedback learning is used, but it does not prove who said it first. We name an origin only when a dated, direct record supports it. If that record is missing, we leave the question open instead of repeating a popular story as fact.
What should you understand before feedback learning?
Read artificial intelligence (AI) first when feedback learning depends on a more basic idea or mechanism. The link gives you a useful route through the glossary. It does not mean every author teaches the subject in this order, so follow the source when the sequence matters.
What should this term help you answer?
Use feedback learning to ask what an agent can observe, decide, change, remember, or hand off. The questions below turn the definition into a practical check. They are prompts for your own work, not claims made by the source, so change them to fit the system you are examining.
- What can the system observe?
- What choice can it make?
- What changes after it acts?
Which source supports this definition of feedback learning?
ACL Anthology supports this working definition of feedback learning. We checked the link on 2026-07-12. Open the original record for its context, methods, limits, and publication details. The short explanation here is a guide to feedback learning; the linked source remains the evidence to inspect when the wording or boundary matters.
direct supportfeedback learningChecked 2026-07-12→