WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series

24 September 2019

Papers citing "WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series"

6 / 6 papers shown

Title
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 37 4 0 26 May 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication Nancirose Piazza Vahid Behzadan AAML 27 7 0 14 Feb 2023
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 15 5 0 14 Oct 2022
CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification Yijiang Chen Xiangdong Zhou Zhen Xing Zhidan Liu Minyang Xu AI4TS SSL 21 5 0 08 Mar 2022
Reinforcement Learning for Quantitative Trading Shuo Sun R. Wang Bo An OffRL AIFin 16 51 0 28 Sep 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015