{"url":"/dataset/arlbench-data","name":"ARLBench Data","full_name":null,"description_markdown":"Around 90k different RL runs: 256 hyperparameter configurations for 10 seeds each across a total of 3 algorithms (PPO, SAC, DQN) and 22 environments.","description_withheld":null,"homepage":"https://huggingface.co/datasets/autorl-org/arlbench","introduced_date":"2024-09-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/arlbench-flexible-and-efficient-benchmarking","title":"ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning","first_author":"Jannis Becktepe","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ARLBench Data"],"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."}