Terms related to machine learning · 3.3.9
reinforcement learning
learning a best sequence of actions by interacting with an environment and seeking a reward
What this term settles
This is the sense the standard gives reinforcement learning. A firm is free to use another sense, but then the difference belongs in its own glossary rather than in an assumed shared language.
Who it binds
The clause does not instruct anyone: it settles what reinforcement learning means so that an instruction written elsewhere can be read the same way by both sides.
What to do in your practice
Write the entry into the glossary the firm actually reads, not a shelf document. Check the two artefacts where the word does most work and note any sentence that stretches the meaning.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for reinforcement learning with the citation 3.3.9, an owner and a review date.An auditor can check that reinforcement learning is controlled rather than assumed.
- A model record that names the algorithm, the training run and the parameters that changed. The row names reinforcement learning.Shows reinforcement learning in use in the artefact the firm relies on, not only in a glossary.
- A training log with the data version, the criteria and the result. The record carries the reinforcement learning entry and its date.The model record names the vendor product but not the algorithm or the training run, so the term cannot be traced to an artefact. The gap is tested against reinforcement learning.
Common gaps this page catches
- reinforcement learning is used in the model and training record without a written definition, so two teams can mean different things.
- reinforcement learning appears in a template with no citation, so the reader cannot tell which sense was intended.
What to prepare before the amendment lands
Brief the owners who use reinforcement learning most often, then ask each to return one artefact that shows the entry in use. File the artefacts against the register row.
How to test it here
Take one live artefact rather than a template, find the sentence or field where reinforcement learning is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states reinforcement learning at the claim level "definition" and stops where the public record stops.
Common questions
- What does reinforcement learning mean in ISO 22989?
- learning a best sequence of actions by interacting with an environment and seeking a reward
- What evidence should we keep for 3.3.9?
- A controlled vocabulary entry for reinforcement learning with the citation 3.3.9, an owner and a review date. A model record that names the algorithm, the training run and the parameters that changed. The row names reinforcement learning.
- Is reinforcement learning a requirement?
- No: reinforcement learning is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.3.9, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary