1992 CE
Q-learning: learning to act through reward
Artificial intelligence · Reinforcement learning
Christopher Watkins and Peter Dayan published a convergence proof for Q-learning, proposed by Watkins in 1989. The method learns action values from experience and became a foundation of reinforcement learning.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
- The scale goes from 1 BCE to 1 CE without year zero. Changing era names changes labels only.
- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- link.springer.com (opens in a new tab)
Source provenance and scope
- Publication date
- 1992-05
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Bibliographic date checked
- 2026-09-23
- Date evidence
- Declared in the cited source’s publisher metadata.
- Access date
- 2026-09-20
The correspondence between this reference and individual claims has not yet been itemized.
This record is an editorial synthesis. Consult the sources to check claims and their limits. Chronological relationships alone do not establish causation.