Shengyi Jiang

activity

20212025

most citedRegret Minimization Experience Replay in Off-Policy Reinforcement Learning

5 citations · 9 across the 7 of their papers we have counts for

collaborators

Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning

Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang +4

Combining offline and online reinforcement learning (RL) techniques is indeed crucial for achieving efficient and safe learning where data acquisition is expensive. Existing method…

q-fin.CP2024

$Alpha^{2}$ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning

Feng Xu, Yan Yin, Xinyu Zhang +3

Alphas are pivotal in providing signals for quantitative trading. The industry highly values the discovery of formulaic alphas for their interpretability and ease of analysis, comp…

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning

Alpha2: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning

$Alpha^{2}$ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning