6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Hui Niu, Siyuan Li, Jiahao Zheng +4
Market making (MM) has attracted significant attention in financial trading owing to its essential function in ensuring market liquidity. With strong capabilities in sequential dec…
q-fin.TR2022★ 6 cited
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun, Wanqi Xue, Rundong Wang +4
Reinforcement learning (RL) techniques have shown great success in many challenging quantitative trading tasks, such as portfolio management and algorithmic trading. Especially, in…