2 citations · 2 across the 1 of their papers we have counts for
2 papers
q-fin.CP2019★ 2 cited
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data
Junming Yang, Yaoqi Li, Xuanyu Chen +2
Training a practical and effective model for stock selection has been a greatly concerned problem in the field of artificial intelligence. Even though some of the models from previ…
q-fin.PM2018
Adversarial Deep Reinforcement Learning in Portfolio Management
Zhipeng Liang, Hao Chen, Junhao Zhu +2
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Polic…