FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang… - arXiv preprint arXiv …, 2020 - arxiv.org
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

[PDF][PDF] FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang… - arXiv preprint arXiv …, 2020 - smallake.kr
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

[PDF][PDF] FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen… - arXiv preprint …, 2020 - openfin.engineering.columbia.edu
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

[PDF][PDF] FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang… - arXiv preprint arXiv …, 2020 - smallake.kr
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu - Available at SSRN 3737257, 2020 - papers.ssrn.com
Deep reinforcement learning (DRL) has been envisioned to have a competitive edge in
quantitative finance. However, there is a steep development curve for quantitative traders to …

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang, B Xiao… - 2022 - econpapers.repec.org
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang… - arXiv e …, 2020 - ui.adsabs.harvard.edu
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang, B Xiao… - 2022 - ideas.repec.org
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

XY Liu, H Yang, Q Chen, R Zhang, L Yang… - Available at SSRN …, 2020 - papers.ssrn.com
As deep reinforcement learning (DRL) has been recognized as an effective approach in
quantitative finance, getting hands-on experiences is attractive to beginners. However, to …