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General Reinforcement Learning datasets

archive 2025-07-28

7 datasets carry the task tag "General Reinforcement Learning" (the task itself: General Reinforcement Learning), 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

General Reinforcement Learning datasets 1–7 of 7

Procgen Benchmark includes 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills.
177 papers · 1 benchmark
Obstacle Tower is a high fidelity, 3D, 3rd person, procedurally generated environment for reinforcement learning.
20 papers · 6 benchmarks
Avalon is a benchmark for generalization in Reinforcement Learning (RL).
5 papers · 0 benchmarks
POPGym (Partially Observable Process Gym)
POPGym is designed to benchmark memory in deep reinforcement learning.
3 papers · 0 benchmarks
The ability to jointly understand the geometry of objects and plan actions for manipulating them is crucial for intelligent agents.
3 papers · 1 benchmark
WLD (WildLife Documentary)
WildLife Documentary is an animal object detection dataset.
3 papers · 0 benchmarks
bipedal-skills (Bipedal Skills Benchmark for Reinforcement Learning)
The bipedal skills benchmark is a suite of reinforcement learning environments implemented for the MuJoCo physics simulator.
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.