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

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

19 November 2020

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

15 / 15 papers shown

Title
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach Arishi Orra Aryan Bhambu Himanshu Choudhary Manoj Thakur Selvaraju Natarajan 12 0 0 20 Apr 2025
MTS: A Deep Reinforcement Learning Portfolio Management Framework with Time-Awareness and Short-Selling Fengchen Gu Zhengyong Jiang Ángel García-Fernández Angelos Stefanidis Jionglong Su Huakang Li AI4TS AIFin 70 0 0 06 Mar 2025
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs Qianggang Ding Haochen Shi Jiadong Guo Bang Liu AIFin 40 3 0 16 Oct 2024
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE Junjie Zhao Chengxi Zhang Min Qin Peng Yang OOD 31 3 0 08 Sep 2024
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading Chuqiao Zong Chaojie Wang Molei Qin Lei Feng Xinrun Wang Bo An AIFin 29 4 0 20 Jun 2024
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization Fernando Acero Parisa Zehtabi Nicolas Marchesotti Michael Cashmore Daniele Magazzeni Manuela Veloso OOD 27 1 0 25 Mar 2024
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools Wentao Zhang Yilei Zhao Shuo Sun Jie Ying Yonggang Xie Zitao Song Xinrun Wang Bo An AIFin OOD 16 5 0 17 Nov 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 35 117 0 16 Oct 2023
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading Zitao Song Xuyang Jin Chenliang Li OffRL AIFin 21 1 0 13 Jun 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 39 11 0 20 Mar 2022
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets Mohsen Asgari S. H. Khasteh 19 5 0 15 Jan 2022
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 19 20 0 07 Nov 2021
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning Guanlin Liu Lifeng Lai AAML 32 34 0 09 Oct 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021