Research paper / RESOURCE PROFILE

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financi

" FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning ." NeurIPS 2022 .

arxiv.orgPublished Nov 6, 2022
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Overview

" FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning ." NeurIPS 2022 .

" FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning ." NeurIPS 2022 .

Topics & capabilities

reinforcement-learningpublicationspaperrl-environment

Publication information

Publication title
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Authors
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Published
Nov 6, 2022
Last publication revision
Nov 6, 2022
Subject areas
q-fin.TR
Publication source
arxiv.org · abs/2211.03107v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2211.03107 ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
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DeepIntoStreams/TSFM_Finance

github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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