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2002.05780
Cited By
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States
AAAI Conference on Artificial Intelligence (AAAI), 2020
9 February 2020
Yunan Ye
Hengzhi Pei
Wei Ping
Pin-Yu Chen
Yada Zhu
Jun Xiao
Yue Liu
AIFin
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Papers citing
"Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States"
47 / 47 papers shown
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The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
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Nikolaos Pippas
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Solving General Natural-Language-Description Optimization Problems with Large Language Models
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Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
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Parisa Zehtabi
Nicolas Marchesotti
Michael Cashmore
Daniele Magazzeni
Manuela Veloso
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A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
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Lingxuan Zhao
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Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization
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Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning
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Tomochika Sawaki
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An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading
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Diego Klabjan
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Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Knowledge Discovery and Data Mining (KDD), 2023
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Zhen-Yu Tang
Kan Ren
Yuante Li
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Dongsheng Li
Weinan Zhang
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215
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06 Jul 2023
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management
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Fabrice Popineau
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279
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19 Jun 2023
Model Conversion via Differentially Private Data-Free Distillation
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Bochao Liu
Pengju Wang
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Molei Qin
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444
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A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management
MohammadAmin Fazli
M. Lashkari
Hamed Taherkhani
J. Habibi
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Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
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Wei Jiang
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333
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321
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Asset Allocation: From Markowitz to Deep Reinforcement Learning
Social Science Research Network (SSRN), 2022
Ricard Durall
214
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Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network
Frensi Zejnullahu
Maurice Moser
Joerg Osterrieder
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DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun
Wanqi Xue
Rongpin Wang
Xu He
Junlei Zhu
Jian Li
Bo An
405
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15 Dec 2021
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
International Conference on AI in Finance (ICAF), 2021
Francisco Caio Lima Paiva
L. Felizardo
Reinaldo A. C. Bianchi
Anna Helena Reali Costa
AIFin
168
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Reinforcement Learning for Quantitative Trading
Shuo Sun
Rongpin Wang
Bo An
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324
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A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
Anil Berk Altuner
Zeynep Hilal Kilimci
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155
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CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Yue Liu
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229
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Adaptive learning for financial markets mixing model-based and model-free RL for volatility targeting
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David Saltiel
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Sui Kai Wong
François Chareyron
OOD
248
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DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Conference on Computer and Communications Security (CCS), 2021
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Fan Wu
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Luka Rimanic
Ce Zhang
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MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
PLoS ONE (PLOS ONE), 2021
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F. Tanaka
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Universal Trading for Order Execution with Oracle Policy Distillation
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Kan Ren
Yuante Li
Dong Zhou
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Tie-Yan Liu
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282
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Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
AAAI Conference on Artificial Intelligence (AAAI), 2020
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Jianguo Huang
Bo An
Zhouyan Feng
Jun Yao
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467
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Bridging the gap between Markowitz planning and deep reinforcement learning
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
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AAMDRL: Augmented Asset Management with Deep Reinforcement Learning
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
Jamal Atif
195
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30 Sep 2020
Time your hedge with Deep Reinforcement Learning
Social Science Research Network (SSRN), 2020
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
AIFin
207
16
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16 Sep 2020
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