2013 CE
DQN combines deep networks and reinforcement
Artificial intelligence · Reinforcement learning
A DeepMind team presented an agent learning to play Atari games from pixels and rewards. The 2013 publication, expanded in Nature in 2015, connected learned perception with sequential decisions.
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
- arxiv.org (opens in a new tab)
Source provenance and scope
- Publication date
- 2013-12-19
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Date note
- Date of the first arXiv preprint version; later revisions may exist.
- 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.