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2011.09607
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FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Social Science Research Network (SSRN), 2020
19 November 2020
Xiao-Yang Liu
Hongyang Yang
Qian Chen
Runjia Zhang
Liuqing Yang
Bowen Xiao
Chris Wang
AIFin
OffRL
Re-assign community
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Github (11784★)
Papers citing
"FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance"
50 / 54 papers shown
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133
1
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06 Oct 2025
Generalized Fitted Q-Iteration with Clustered Data
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Jitao Wang
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OffRL
165
0
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04 Oct 2025
DeltaHedge: A Multi-Agent Framework for Portfolio Options Optimization
Pacific Asia Conference on Information Systems (PACIS), 2025
Feliks Bańka
Jarosław A. Chudziak
AIFin
158
1
0
16 Sep 2025
Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System
Hoon Sagong
Heesu Kim
Hanbeen Hong
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49
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15 Sep 2025
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
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Hyunjung Yi
Mogan Gim
Donghee Choi
Jaewoo Kang
124
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11 Sep 2025
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
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Teddy Lazebnik
183
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10 Sep 2025
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
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Flora D. Salim
Hao Xue
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191
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FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment
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Yilei Zhao
Chuqiao Zong
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Bo An
AIFin
175
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0
04 Aug 2025
Language Model Guided Reinforcement Learning in Quantitative Trading
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Vince Vella
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303
1
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Jing Li
Guiling Wang
AIFin
322
0
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Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
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Zimeng Lyu
Sheeraja Rajakrishnan
Hao Zhang
Alex Ororbia
Travis J. Desell
Daniel E. Krutz
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200
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25 Jul 2025
CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero
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Andrea Corti
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351
1
0
24 May 2025
Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
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Yao Shi
Chen Wang
Qiqi Duan
Runke Ruan
Weijie Huang
Haonan Long
Lijun Huang
Yuyu Luo
Nan Tang
AIFin
394
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16 May 2025
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models
Fredy Pokou
Jules Sadefo Kamdem
François Benhmad
AIFin
250
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23 Apr 2025
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach
Arishi Orra
Aryan Bhambu
Himanshu Choudhary
Manoj Thakur
Selvaraju Natarajan
157
2
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Yao Shi
Yuyu Luo
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322
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24 Mar 2025
MTS: A Deep Reinforcement Learning Portfolio Management Framework with Time-Awareness and Short-Selling
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Zhengyong Jiang
Ángel García-Fernández
Angelos Stefanidis
Jionglong Su
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AI4TS
AIFin
273
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06 Mar 2025
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
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Haochen Shi
Jiadong Guo
Bang Liu
AIFin
438
10
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16 Oct 2024
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
IEEE Transactions on Signal Processing (IEEE TSP), 2024
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Chengxi Zhang
Min Qin
Peng Yang
OOD
467
17
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Reinforcement Learning Pair Trading: A Dynamic Scaling approach
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Avinash Malik
285
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Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent
Alejandra de la Rica Escudero
E.C. Garrido-Merchán
Maria Coronado Vaca
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269
11
0
19 Jul 2024
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu
Zhiyuan Yao
Haohang Li
Zhiyang Deng
Yun Feng
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Guojun Xiong
Yueru He
Jimin Huang
Dong Li
Qianqian Xie
AIFin
LLMAG
341
93
0
09 Jul 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
263
7
0
20 Jun 2024
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Hongyang Yang
Boyu Zhang
Neng Wang
Cheng Guo
Xiaoli Zhang
...
Junlin Wang
Tianyu Zhou
Mao Guan
Runjia Zhang
Chris Wang
AIFin
AI4CE
291
32
1
23 May 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
307
6
0
25 Mar 2024
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Wentao Zhang
Lingxuan Zhao
Haochong Xia
Shuo Sun
Jiaze Sun
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Yilei Zhao
Xinyu Cai
Longtao Zheng
Xinrun Wang
Rui Hu
AIFin
483
117
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Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Philip Ndikum
Serge Ndikum
289
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Andrew Ye
James Xu
Yi Wang
Yifan Yu
Daniel Yan
Ryan Chen
Bosheng Dong
Vipin Chaudhary
Shuai Xu
AIFin
146
2
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02 Feb 2024
Camouflage Adversarial Attacks on Multiple Agent Systems
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
211
3
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30 Jan 2024
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
AAAI Spring Symposia (ASS), 2023
Yangyang Yu
Haohang Li
Zhi Chen
Yi Han
Yang Li
Denghui Zhang
Rong Liu
Jordan W. Suchow
K. Khashanah
338
144
0
23 Nov 2023
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
Rui Hu
AIFin
OOD
468
14
0
17 Nov 2023
Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
Annual Conference on Information Sciences and Systems (CISS), 2023
Ziqing Lu
Guanlin Liu
Lifeng Lai
Weiyu Xu
AAML
194
2
0
01 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
417
164
0
16 Oct 2023
Deep Reinforcement Learning from Hierarchical Preference Design
Alexander Bukharin
Yixiao Li
Pengcheng He
Tuo Zhao
308
2
0
06 Sep 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty
Guanin Liu
Zhihan Zhou
Han Liu
Lifeng Lai
292
4
0
15 Jul 2023
Deep Reinforcement Learning for ESG financial portfolio management
E.C. Garrido-Merchán
Sol Mora-Figueroa-Cruz-Guzmán
Maria Coronado Vaca
AIFin
171
6
0
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Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Machine-mediated learning (ML), 2023
Xiao-Yang Liu
Ziyi Xia
Hongyang Yang
Jiechao Gao
Daochen Zha
Ming Zhu
Chris Wang
Zhaoran Wang
Jian Guo
OffRL
228
38
0
25 Apr 2023
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management
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Maximilian Schambach
Sebastian Schulze
Johannes Otterbach
181
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PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
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FaML
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388
10
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Maurice Moser
Joerg Osterrieder
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196
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A Survey on Model-based Reinforcement Learning
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
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Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
347
153
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19 Jun 2022
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160
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IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2022
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C. Omlin
152
11
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Policy Gradients using Variational Quantum Circuits
Quantum Machine Intelligence (QMI), 2022
André Sequeira
L. Santos
Luis Soares Barbosa
356
25
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Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management
Ruan Pretorius
Terence L van Zyl
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129
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Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets
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S. H. Khasteh
162
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Jiahao Zheng
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A. Walid
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Sai Li
250
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AIFin
AI4TS
172
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