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A Deep Reinforcement Learning Framework for the Financial Portfolio
  Management Problem

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

30 June 2017
Zhengyao Jiang
Dixing Xu
Jinjun Liang
    OOD
ArXivPDFHTML

Papers citing "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"

41 / 41 papers shown
Title
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
204
2
0
24 Apr 2025
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach
Deep Reinforcement Learning for Investor-Specific Portfolio Optimization: A Volatility-Guided Asset Selection Approach
Arishi Orra
Aryan Bhambu
Himanshu Choudhary
Manoj Thakur
Selvaraju Natarajan
19
0
0
20 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao
Saizhuo Wang
Xinyi Lin
Xiaojun Wu
Haohan Zhang
L. Ni
Jian Guo
AIFin
59
1
0
27 Mar 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
80
0
0
06 Mar 2025
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
Runsheng Lin
Zihan Xing
Mingze Ma
Raymond S.T. Lee
52
2
0
15 Jan 2025
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Qianggang Ding
Haochen Shi
Jiadong Guo
Bang Liu
AIFin
43
3
0
16 Oct 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
95
3
0
20 Aug 2024
Developing An Attention-Based Ensemble Learning Framework for Financial
  Portfolio Optimisation
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation
Zhenglong Li
Vincent Tam
40
0
0
13 Apr 2024
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible
  Portfolio Optimization
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
Fernando Acero
Parisa Zehtabi
Nicolas Marchesotti
Michael Cashmore
Daniele Magazzeni
Manuela Veloso
OOD
37
1
0
25 Mar 2024
Reinforcement Learning with Maskable Stock Representation for Portfolio
  Management in Customizable Stock Pools
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
26
5
0
17 Nov 2023
Quantitative Trading using Deep Q Learning
Quantitative Trading using Deep Q Learning
Soumya Sarkar
21
1
0
03 Apr 2023
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement
  Learning for Portfolio Management
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
MohammadAmin Fazli
M. Lashkari
Hamed Taherkhani
J. Habibi
AIFin
45
0
0
29 Dec 2022
A policy gradient approach for Finite Horizon Constrained Markov Decision Processes
A policy gradient approach for Finite Horizon Constrained Markov Decision Processes
Soumyajit Guin
S. Bhatnagar
31
8
0
10 Oct 2022
Model-Free Reinforcement Learning for Asset Allocation
Model-Free Reinforcement Learning for Asset Allocation
Adebayo Oshingbesan
Eniola Ajiboye
Peruth Kamashazi
Timothy Mbaka
OffRL
27
1
0
21 Sep 2022
MetaTrader: An Reinforcement Learning Approach Integrating Diverse
  Policies for Portfolio Optimization
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization
Hui Niu
Siyuan Li
Jian Li
AIFin
32
30
0
01 Sep 2022
An intelligent algorithmic trading based on a risk-return reinforcement
  learning algorithm
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm
Boyin Jin
24
1
0
23 Aug 2022
Asset Allocation: From Markowitz to Deep Reinforcement Learning
Asset Allocation: From Markowitz to Deep Reinforcement Learning
Ricard Durall
24
4
0
14 Jul 2022
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning
  Implementation for High-Freq Stock Trading
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
Zitao Song
Xuyang Jin
Chenliang Li
OffRL
AIFin
29
1
0
13 Jun 2022
Analytics of Business Time Series Using Machine Learning and Bayesian
  Inference
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
B. Pavlyshenko
BDL
AI4TS
39
2
0
25 May 2022
Reinforcement Learning Policy Recommendation for Interbank Network
  Stability
Reinforcement Learning Policy Recommendation for Interbank Network Stability
Alessio Brini
G. Tedeschi
Daniele Tantari
21
2
0
14 Apr 2022
A Novel Neuromorphic Processors Realization of Spiking Deep
  Reinforcement Learning for Portfolio Management
A Novel Neuromorphic Processors Realization of Spiking Deep Reinforcement Learning for Portfolio Management
Amir Saeidi
Forouzan Fallah
Soroush Barmaki
Hamed Farbeh
32
11
0
26 Mar 2022
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement
  Learning
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
Yuan Tian
Minghao Han
Chetan S. Kulkarni
Olga Fink
25
13
0
20 Jan 2022
High-Dimensional Stock Portfolio Trading with Deep Reinforcement
  Learning
High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning
Uta Pigorsch
S. Schäfer
AIFin
20
10
0
09 Dec 2021
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
29
168
0
08 Dec 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
64
55
0
28 Sep 2021
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
R. Wang
Bo An
OffRL
AIFin
28
51
0
28 Sep 2021
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio
  Management
WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management
S. Marzban
Erick Delage
Jonathan Yu-Meng Li
J. Desgagne-Bouchard
C. Dussault
27
0
0
14 Sep 2021
Factor Representation and Decision Making in Stock Markets Using Deep
  Reinforcement Learning
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
Zhaolu Dong
Shan Huang
Simiao Ma
Yining Qian
AIFin
36
1
0
03 Aug 2021
Bayesian Bellman Operators
Bayesian Bellman Operators
M. Fellows
Kristian Hartikainen
Shimon Whiteson
OffRL
42
15
0
09 Jun 2021
Theoretically Motivated Data Augmentation and Regularization for
  Portfolio Construction
Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction
Liu Ziyin
Kentaro Minami
Kentaro Imajo
29
4
0
08 Jun 2021
Deep Reinforcement Learning for Stock Portfolio Optimization
Deep Reinforcement Learning for Stock Portfolio Optimization
L. T. Hieu
AIFin
20
8
0
09 Dec 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction
  with Representation Learning and Temporal Convolutional Network
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network
Xing Wang
Yijun Wang
Bin Weng
Aleksandr Vinel
AIFin
AI4TS
34
11
0
29 Sep 2020
Comprehensive Review of Deep Reinforcement Learning Methods and
  Applications in Economics
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amir H. Mosavi
Pedram Ghamisi
Yaser Faghan
Puhong Duan
OffRL
27
152
0
21 Mar 2020
Application of Deep Q-Network in Portfolio Management
Application of Deep Q-Network in Portfolio Management
Ziming Gao
Yuan Gao
Yitao Hu
Zhengyong Jiang
Jionglong Su
AIFin
24
49
0
13 Mar 2020
Deep Learning for Financial Applications : A Survey
Deep Learning for Financial Applications : A Survey
A. Ozbayoglu
M. U. Gudelek
Omer Berat Sezer
AIFin
AI4CE
47
385
0
09 Feb 2020
Reinforcement Learning for Portfolio Management
Reinforcement Learning for Portfolio Management
Angelos Filos
32
35
0
12 Sep 2019
Automatic Financial Trading Agent for Low-risk Portfolio Management
  using Deep Reinforcement Learning
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning
Wonsup Shin
Seok-Jun Bu
Sung-Bae Cho
AIFin
13
13
0
07 Sep 2019
An intelligent financial portfolio trading strategy using deep
  Q-learning
An intelligent financial portfolio trading strategy using deep Q-learning
Hyungju Park
M. Sim
D. Choi
AIFin
17
86
0
08 Jul 2019
Model-Free Reinforcement Learning for Financial Portfolios: A Brief
  Survey
Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey
Yoshiharu Sato
OffRL
24
32
0
10 Apr 2019
FinBrain: When Finance Meets AI 2.0
FinBrain: When Finance Meets AI 2.0
Xiaolin Zheng
Mengying Zhu
Qibing Li
Chaochao Chen
Yanchao Tan
AIFin
34
53
0
26 Aug 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement
  Learning
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
38
24
0
06 Aug 2017
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