{"url":"/dataset/demonstration-and-experience-replays","name":"Demonstration and Experience Replays","full_name":null,"description_markdown":"This is the data regarding the pre-generated demonstration and experience replay for the proposed Deep-GRAIL algorithm. You are welcomed to generate your own replays based on your problems at hand.","description_withheld":null,"homepage":"https://drive.google.com/file/d/1PCTX1Li6Gow6G3ij0vK2dCuPVHBV2FzZ/view?usp=share_link","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT License","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Demonstration and Experience Replays"],"data_loaders":[],"num_papers_in_archive":1,"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."}