A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks

no code implementations • 6 Dec 2022 • Jie Zou, Jiashu Lou, Baohua Wang, Sixue Liu

More and more stock trading strategies are constructed using deep reinforcement learning (DRL) algorithms, but DRL methods originally widely used in the gaming community are not directly adaptable to financial data with low signal-to-noise ratios and unevenness, and thus suffer from performance shortcomings.

reinforcement-learning Reinforcement Learning (RL) +2

Palm Vein Recognition via Multi-task Loss Function and Attention Layer

no code implementations • 11 Nov 2022 • Jiashu Lou, Jie Zou, Baohua Wang

With the improvement of arithmetic power and algorithm accuracy of personal devices, biological features are increasingly widely used in personal identification, and palm vein recognition has rich extractable features and has been widely studied in recent years.

Transfer Learning