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Offline RL datasets

archive 2025-07-28

7 datasets carry the task tag "Offline RL" (the task itself: Offline RL), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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

Offline RL datasets 1–7 of 7

D4RL is a collection of environments for offline reinforcement learning.
538 papers · 2 benchmarks
An open database for sharing robotic experience, which provides an initial pool of 15 million video frames, from 7 different robot platforms, and study how it can be used to learn generalizable models for vision-based robotic manipulation.
28 papers · 0 benchmarks
- NeoRL is a collection of environments and datasets for offline reinforcement learning with a special focus on real-world applications.
10 papers · 0 benchmarks
RL Unplugged is suite of benchmarks for offline reinforcement learning.
7 papers · 0 benchmarks
RLU (RL Unplugged)
RL Unplugged is suite of benchmarks for offline reinforcement learning.
2 papers · 0 benchmarks
This data contains about 2500 trajectories (with images and actions) of a Sawyer robot interacting with various objects.
1 paper · 0 benchmarks
NeoRL-2 includes new task scenarios that better reflect real-world task properties and includes traditional control methods as the data-collecting method.
0 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.