{"url":"/dataset/finrl-meta","name":"FinRL-Meta","full_name":null,"description_markdown":"**FinRL-Meta** is universe of market environments for data-driven financial reinforcement learning. It follows the de facto standard of OpenAI Gym and the lean principle of software development. It has the following unique features of layered structure and extensibility, training-testing-trading pipeline and plug-and-play mode.\r\n\r\nSource: [FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning](https://arxiv.org/pdf/2211.03107v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.03107v1.pdf](https://arxiv.org/pdf/2211.03107v1.pdf)","description_withheld":null,"homepage":"https://github.com/ai4finance-foundation/finrl-meta","introduced_date":"2022-11-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/finrl-meta-market-environments-and-benchmarks","title":"FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning","first_author":"Xiao-Yang Liu","url":null},"license":{"name":"MIT license","url":"https://github.com/AI4Finance-Foundation/FinRL-Meta/blob/master/LICENSE"},"modalities":[],"tasks":[{"name":"Reinforcement Learning (RL)","url":"/task/reinforcement-learning-1","datasets_with_task":"/datasets/task/reinforcement-learning-1"}],"languages":[],"variants":["FinRL-Meta"],"data_loaders":[],"num_papers_in_archive":5,"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."}