{"url":"/dataset/v-d4rl","name":"V-D4RL","full_name":null,"description_markdown":"V-D4RL provides pixel-based analogues of the popular D4RL benchmarking tasks, derived from the dm_control suite, along with natural extensions of two state-of-the-art online pixel-based continuous control algorithms, DrQ-v2 and DreamerV2, to the offline setting.","description_withheld":null,"homepage":"https://huggingface.co/datasets/conglu/vd4rl","introduced_date":"2022-06-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/challenges-and-opportunities-in-offline","title":"Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations","first_author":"Cong Lu","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Replay data","url":"/datasets/modality/replay-data"},{"name":"Actions","url":"/datasets/modality/actions"}],"tasks":[{"name":"Reinforcement Learning (RL)","url":"/task/reinforcement-learning-1","datasets_with_task":"/datasets/task/reinforcement-learning-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["V-D4RL"],"data_loaders":[],"num_papers_in_archive":16,"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."}