{"url":"/dataset/deep-sea-treasure-pareto-front","name":"Deep Sea Treasure Pareto-Front","full_name":"Deep Sea Treasure Pareto-Front","description_markdown":"The dataset contains two Pareto-fronts:\r\n- The Pareto-front for the 2-objective problem\r\n- The Pareto-front for the 3-objective problem\r\n\r\nEach Pareto-front contains a set of points, with coordinates given by their objectives. The dataset also contains 1 possible action sequence that leads to this point. If there are multiple possible paths leading to the same point, only 1 was kept.","description_withheld":null,"homepage":"https://github.com/imec-idlab/deep-sea-treasure","introduced_date":"2021-10-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-review-of-the-deep-sea-treasure-problem-as","title":"A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark","first_author":"Amber Cassimon","url":null},"license":{"name":"Mozilla Public License (MPL) version 2.0","url":null},"modalities":[{"name":"Tables","url":"/datasets/modality/tables"}],"tasks":[{"name":"Multiobjective Optimization","url":"/task/multiobjective-optimization","datasets_with_task":"/datasets/task/multiobjective-optimization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Deep Sea Treasure Pareto-Front"],"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":"2026-09-25T09:33:49+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."}