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FinRL-Meta: A Universe of Near-Real Market Environments for Data-Drive

A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. NeurIPS 2021 Data-Centric AI Workshop

arxiv.orgPublished Dec 13, 2021
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Overview

A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. NeurIPS 2021 Data-Centric AI Workshop

Topics & capabilities

reinforcement-learningfinancial-big-datapaper

Publication information

Publication title
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Authors
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
Published
Dec 13, 2021
Last publication revision
Mar 2, 2022
Subject areas
q-fin.TR, cs.LG
Publication source
arxiv.org · abs/2112.06753v2 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2112.06753 ↗

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