no code implementations • 30 Mar 2024 • Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené
In traditional quantitative trading practice, navigating the complicated and dynamic financial market presents a persistent challenge.
no code implementations • 23 Oct 2023 • Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu
This survey elucidates foundational principles of prompt engineering, such as role-prompting, one-shot, and few-shot prompting, as well as more advanced methodologies such as the chain-of-thought and tree-of-thoughts prompting.
no code implementations • 9 Feb 2023 • Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
This work aims to tackle a major challenge in offline Inverse Reinforcement Learning (IRL), namely the reward extrapolation error, where the learned reward function may fail to explain the task correctly and misguide the agent in unseen environments due to the intrinsic covariate shift.
1 code implementation • 23 Apr 2022 • Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora Salim
To address these issues, we construct new graph models to represent the contextual information of each node and the long-term spatio-temporal data dependency structure.
no code implementations • 22 Jan 2021 • Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang
Learning generative models is challenging for a network edge node with limited data and computing power.