上海交大研究生院主页平台管理系统涂仕奎--中文主页-- DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding

涂仕奎

副教授

所在单位：电子信息与电气工程学院

学科：计算机应用技术(081203)

职称：副教授

电子邮箱：tushikui@sjtu.edu.cn

团队成员

教师主页二维码

手机版

常用链接

论文成果

中文主页 - 科学研究 - 论文成果

DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding

发布时间：2022-02-01

发表刊物：THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

ISSN号：2159-5399

是否译文：否

发表时间：2021-02-01

论文类型：会议论文

上一条：Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data

下一条：Controllable stroke-based sketch synthesis from a self-organized latent space