Recent Advances in Reinforcement Learning in Finance

Citations

Cited by:

1. Haoren Zhu & Pengfei Zhao & Wilfred Siu Hung NG & Dik Lun Lee, 2024. "Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns," Papers 2406.11886, arXiv.org.
2. Xianhua Peng & Chenyin Gong & Xue Dong He, 2023. "Reinforcement Learning for Financial Index Tracking," Papers 2308.02820, arXiv.org, revised Nov 2024.
3. Fuwei Jiang & Jie Kang & Ruzheng Tian & Qingdong Xu, 2025. "Black‐Scholes Meet Imitation Learning: Evidence From Deep Hedging in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1071-1087, August.
4. Alejandra de-la-Rica-Escudero & Eduardo C Garrido-Merchán & María Coronado-Vaca, 2025. "Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-19, January.
5. Yuanfei Cui & Fengtong Yao, 2024. "Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 20091-20110, December.
6. Wu, Bo & Li, Lingfei, 2024. "Reinforcement learning for continuous-time mean-variance portfolio selection in a regime-switching market," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
7. François, Pascal & Gauthier, Geneviève & Godin, Frédéric & Mendoza, Carlos Octavio Pérez, 2025. "Is the difference between deep hedging and delta hedging a statistical arbitrage?," Finance Research Letters, Elsevier, vol. 73(C).
8. Pascal Franc{c}ois & Genevi`eve Gauthier & Fr'ed'eric Godin & Carlos Octavio P'erez Mendoza, 2024. "Is the difference between deep hedging and delta hedging a statistical arbitrage?," Papers 2407.14736, arXiv.org, revised Oct 2024.
9. Horikawa, Hiroaki & Nakagawa, Kei, 2024. "Relationship between deep hedging and delta hedging: Leveraging a statistical arbitrage strategy," Finance Research Letters, Elsevier, vol. 62(PA).
10. Reilly Pickard & Yuri Lawryshyn, 2023. "Deep Reinforcement Learning for Dynamic Stock Option Hedging: A Review," Mathematics, MDPI, vol. 11(24), pages 1-19, December.
11. Minshuo Chen & Renyuan Xu & Yumin Xu & Ruixun Zhang, 2025. "Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure," Papers 2504.06566, arXiv.org, revised Jul 2025.
12. Jaskaran Singh Walia & Aarush Sinha & Srinitish Srinivasan & Srihari Unnikrishnan, 2025. "Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation," Papers 2502.17011, arXiv.org.
13. Guojun Xiong & Zhiyang Deng & Keyi Wang & Yupeng Cao & Haohang Li & Yangyang Yu & Xueqing Peng & Mingquan Lin & Kaleb E Smith & Xiao-Yang Liu & Jimin Huang & Sophia Ananiadou & Qianqian Xie, 2025. "FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading," Papers 2502.11433, arXiv.org, revised Feb 2025.
14. Ahmad Aghapour & Erhan Bayraktar & Fengyi Yuan, 2025. "Solving dynamic portfolio selection problems via score-based diffusion models," Papers 2507.09916, arXiv.org, revised Aug 2025.
15. Yuheng Zheng & Zihan Ding, 2024. "Reinforcement Learning in High-frequency Market Making," Papers 2407.21025, arXiv.org, revised Aug 2024.
16. Konrad Mueller & Amira Akkari & Lukas Gonon & Ben Wood, 2024. "Fast Deep Hedging with Second-Order Optimization," Papers 2410.22568, arXiv.org.
17. Xiangyu Cui & Xun Li & Yun Shi & Si Zhao, 2023. "Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning," Papers 2312.15385, arXiv.org.
18. Daniil Karzanov & Rub'en Garz'on & Mikhail Terekhov & Caglar Gulcehre & Thomas Raffinot & Marcin Detyniecki, 2025. "Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards," Papers 2502.02619, arXiv.org.
19. Shanyu Han & Yang Liu & Xiang Yu, 2025. "Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions," Papers 2505.04553, arXiv.org, revised May 2025.
20. Kun Yang & Nikhil Krishnan & Sanjeev R. Kulkarni, 2025. "Financial Data Analysis with Robust Federated Logistic Regression," Papers 2504.20250, arXiv.org.
21. Nicole Bäuerle & Anna Jaśkiewicz, 2024. "Markov decision processes with risk-sensitive criteria: an overview," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 99(1), pages 141-178, April.
22. Woosung Koh & Insu Choi & Yuntae Jang & Gimin Kang & Woo Chang Kim, 2023. "Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series," Papers 2311.13326, arXiv.org, revised Jan 2024.
23. Bouyaddou, Youssef & Jebabli, Ikram, 2025. "Integration of investor behavioral perspective and climate change in reinforcement learning for portfolio optimization," Research in International Business and Finance, Elsevier, vol. 73(PB).
24. Rongwei Liu & Jin Zheng & John Cartlidge, 2025. "Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE," Papers 2508.20103, arXiv.org.
25. Yu, Hongxiang & Wang, Ziqi & Weng, Yudong & Wang, Liying, 2024. "The impact of guarantee network on the risk of corporate stock price crash: Discussing the moderating effect of internal control quality," International Review of Economics & Finance, Elsevier, vol. 96(PC).
26. Jiang, Yifu & Olmo, Jose & Atwi, Majed, 2025. "High-dimensional multi-period portfolio allocation using deep reinforcement learning," International Review of Economics & Finance, Elsevier, vol. 98(C).