13 citations · 24 across the 4 of their papers we have counts for
4 papers
When to Commit and When to Defer: Maturing Markov Decision Processes under Refining Information and Expiring Opportunities
Jiaxi Liu, Aiping Yang, Yuhang Yang +4
Sequential decisions often become better informed as action opportunities expire. We introduce Maturing Markov Decision Processes (MMDPs), a structured subclass of augmented finite…
DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
Yaqi Xie, Xinru Hao, Jiaxi Liu +4
Deep Reinforcement Learning (DRL) provides a general-purpose methodology for training inventory policies that can leverage big data and compute. However, off-the-shelf implementati…
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment
Jiaxi Liu, Yidong Zhang, Xiaoqing Wang +2
In this paper we present an end-to-end framework for addressing the problem of dynamic pricing (DP) on E-commerce platform using methods based on deep reinforcement learning (DRL).…
Context-Based Dynamic Pricing with Online Clustering
Sentao Miao, Xi Chen, Xiuli Chao +2
We consider a context-based dynamic pricing problem of online products, which have low sales. Sales data from Alibaba, a major global online retailer, illustrate the prevalence of…