{"url":"/dataset/dataset-of-uai-2021-paper-an-unsupervised","name":"Dataset of UAI 2021 Paper \"An Unsupervised Video Game Playstyle Metric via State Discretization\"","full_name":null,"description_markdown":"This is a part of dataset of the paper published in UAI 2021 (37th Conference on Uncertainty in Artificial Intelligence).\r\n\r\nIncluding training datasets, testing datasets, and HSD models of three game platforms used in the paper: TORCS, RGSK, and Atari.\r\n\r\nThe example program for using this file will be put on the author's github repo branch: https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_uai2021","description_withheld":null,"homepage":"https://zenodo.org/record/8191453","introduced_date":"2023-07-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-unsupervised-video-game-playstyle-metric","title":"An Unsupervised Video Game Playstyle Metric via State Discretization","first_author":"Chiu-Chou Lin","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Dataset of UAI 2021 Paper \"An Unsupervised Video Game Playstyle Metric via State Discretization\""],"data_loaders":[],"num_papers_in_archive":2,"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."}