3 citations · 3 across the 2 of their papers we have counts for
2 papers
q-fin.TR2022★ 3 cited
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
Feiyang Pan, Tongzhe Zhang, Ling Luo +2
Optimal execution is a sequential decision-making problem for cost-saving in algorithmic trading. Studies have found that reinforcement learning (RL) can help decide the order-spli…
cs.CL2020
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning
Jianfeng Liu, Feiyang Pan, Ling Luo
A chatbot that converses like a human should be goal-oriented (i.e., be purposeful in conversation), which is beyond language generation. However, existing dialogue systems often h…