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FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learn

High performance and scalable deep reinforcement learning for quantitative finance. ACM International Conference on AI in Finance, ICAIF 2021

arxiv.orgPublished Nov 7, 2021
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Overview

High performance and scalable deep reinforcement learning for quantitative finance. ACM International Conference on AI in Finance, ICAIF 2021

Topics & capabilities

reinforcement-learningstrategiespapereducation

Publication information

Publication title
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance
Authors
Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
Published
Nov 7, 2021
Last publication revision
Nov 7, 2021
Venue / journal
ACM International Conference on AI in Finance, 2021
Subject areas
q-fin.CP, cs.CE
DOI
10.1145/3490354.3494413 ↗
Publication source
arxiv.org · abs/2111.05188v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/2111.05188 ↗

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