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Atari Games datasets

archive 2025-07-28

6 datasets carry the task tag "Atari Games" (the task itself: Atari Games), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Atari Games datasets 1–6 of 6

The Arcade Learning Environment (ALE) is an object-oriented framework that allows researchers to develop AI agents for Atari 2600 games.
366 papers · 57 benchmarks
The DQN Replay Dataset was collected as follows: We first train a [DQN][naturedqn] agent, on all 60 [Atari 2600 games][ale] with [sticky actions][stochasticale] enabled for 200 million frames (standard protocol) and save all of the…
31 papers · 0 benchmarks
Atari-HEAD is a dataset of human actions and eye movements recorded while playing Atari videos games.
9 papers · 0 benchmarks
The Atari Grand Challenge dataset is a large dataset of human Atari 2600 replays.
7 papers · 0 benchmarks
AtariARI (Atari Annotated RAM Interface)
The AtariARI (Atari Annotated RAM Interface) is an environment for representation learning.
6 papers · 0 benchmarks
RLU (RL Unplugged)
RL Unplugged is suite of benchmarks for offline reinforcement learning.
2 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.