{"url":"/dataset/atari-100k","name":"Atari 100k","full_name":null,"description_markdown":"Atari Games for only 100k environment steps. (400k frames with frame-skip=4).","description_withheld":null,"homepage":"","introduced_date":"2019-03-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/model-based-reinforcement-learning-for-atari","title":"Model-Based Reinforcement Learning for Atari","first_author":"Lukasz Kaiser","url":null},"license":null,"modalities":[],"tasks":[{"name":"Atari Games 100k","url":"/task/atari-games-100k","datasets_with_task":"/datasets/task/atari-games-100k"}],"languages":[],"variants":["Atari 100k"],"data_loaders":[],"num_papers_in_archive":62,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}