138 related articles for article (PubMed ID: 32716945)
1. Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning.
Leem J; Kim HY
PLoS One; 2020; 15(7):e0236178. PubMed ID: 32716945
[TBL] [Abstract][Full Text] [Related]
2. A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm.
Falces Marin J; Díaz Pardo de Vera D; Lopez Gonzalo E
PLoS One; 2022; 17(12):e0277042. PubMed ID: 36538547
[TBL] [Abstract][Full Text] [Related]
3. Dynamic stock-decision ensemble strategy based on deep reinforcement learning.
Yu X; Wu W; Liao X; Han Y
Appl Intell (Dordr); 2023; 53(2):2452-2470. PubMed ID: 35572052
[TBL] [Abstract][Full Text] [Related]
4. Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations.
Stoean C; Paja W; Stoean R; Sandita A
PLoS One; 2019; 14(10):e0223593. PubMed ID: 31600306
[TBL] [Abstract][Full Text] [Related]
5. QF-TraderNet: Intraday Trading
Qiu Y; Qiu Y; Yuan Y; Chen Z; Lee R
Front Artif Intell; 2021; 4():749878. PubMed ID: 34778753
[TBL] [Abstract][Full Text] [Related]
6. LSTM-DDPG for Trading with Variable Positions.
Jia Z; Gao Q; Peng X
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640890
[TBL] [Abstract][Full Text] [Related]
7. Cooperative modular reinforcement learning for large discrete action space problem.
Ming F; Gao F; Liu K; Zhao C
Neural Netw; 2023 Apr; 161():281-296. PubMed ID: 36774866
[TBL] [Abstract][Full Text] [Related]
8. Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.
Tsantekidis A; Passalis N; Tefas A
Neural Netw; 2021 Aug; 140():193-202. PubMed ID: 33774425
[TBL] [Abstract][Full Text] [Related]
9. Selection of the optimal trading model for stock investment in different industries.
Lv D; Huang Z; Li M; Xiang Y
PLoS One; 2019; 14(2):e0212137. PubMed ID: 30759146
[TBL] [Abstract][Full Text] [Related]
10. Salience Interest Option: Temporal abstraction with salience interest functions.
Zhu X; Zhao L; Zhu W
Neural Netw; 2024 Aug; 176():106342. PubMed ID: 38692188
[TBL] [Abstract][Full Text] [Related]
11. Modeling limit order trading with a continuous action policy for deep reinforcement learning.
Tsantekidis A; Passalis N; Tefas A
Neural Netw; 2023 Aug; 165():506-515. PubMed ID: 37348431
[TBL] [Abstract][Full Text] [Related]
12. Financial Market Sentiment Prediction Technology and Application Based on Deep Learning Model.
Guo Y
Comput Intell Neurosci; 2022; 2022():1988396. PubMed ID: 35281197
[TBL] [Abstract][Full Text] [Related]
13. Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning.
Wang Y; Tang C; Wang S; Cheng L; Wang R; Tan M; Hou Z
IEEE Trans Neural Netw Learn Syst; 2022 Aug; 33(8):3741-3752. PubMed ID: 33560993
[TBL] [Abstract][Full Text] [Related]
14. Deep reinforcement learning stock market trading, utilizing a CNN with candlestick images.
Brim A; Flann NS
PLoS One; 2022; 17(2):e0263181. PubMed ID: 35180250
[TBL] [Abstract][Full Text] [Related]
15. Improving stock trading decisions based on pattern recognition using machine learning technology.
Lin Y; Liu S; Yang H; Wu H; Jiang B
PLoS One; 2021; 16(8):e0255558. PubMed ID: 34358269
[TBL] [Abstract][Full Text] [Related]
16. Optimal statistical arbitrage trading of Berkshire Hathaway stock and its replicating portfolio.
Chen AS; Yang CM
PLoS One; 2021; 16(1):e0244541. PubMed ID: 33449927
[TBL] [Abstract][Full Text] [Related]
17. Nonlinear trading models through Sharpe Ratio maximization.
Choey M; Weigend AS
Int J Neural Syst; 1997 Aug; 8(4):417-31. PubMed ID: 9730018
[TBL] [Abstract][Full Text] [Related]
18. Curiosity-driven recommendation strategy for adaptive learning via deep reinforcement learning.
Han R; Chen K; Tan C
Br J Math Stat Psychol; 2020 Nov; 73(3):522-540. PubMed ID: 32080828
[TBL] [Abstract][Full Text] [Related]
19. Multi-level deep Q-networks for Bitcoin trading strategies.
Otabek S; Choi J
Sci Rep; 2024 Jan; 14(1):771. PubMed ID: 38191638
[TBL] [Abstract][Full Text] [Related]
20. Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.
Srivastava G; Pradhan N; Saini Y
Comput Biol Med; 2022 Oct; 149():105979. PubMed ID: 36063689
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]