5 papers
Prescriptive Optimization for Adaptive Auto-insurance Pricing with Telematics Data
Qinyang He, Yonatan Mintz
Usage-based insurance (UBI) uses telematics to align premiums with risk and encourage safe driving. However, deploying these programs is challenging due to heavy-tailed claim costs…
SAGkit: A Python SAG Toolkit for Response Time Analysis of Hybrid-Triggered Jobs
Ruide Cao, Zhuyun Qi, Qinyang He +3
For distributed control systems, modern latency-critical applications are increasingly demanding real-time guarantees and robustness. Response-time analysis (RTA) is useful for thi…
Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards
Katherine B. Adams, Justin J. Boutilier, Qinyang He +1
We study a sequential resource allocation problem where a decision maker selects subsets of agents at each period to maximize overall outcomes without prior knowledge of individual…
Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints
Qinyang He, Yonatan Mintz
Multi-armed bandit models have proven to be useful in modeling many real world problems in the areas of control and sequential decision making with partial information. However, in…
Model Based Reinforcement Learning for Personalized Heparin Dosing
Qinyang He, Yonatan Mintz
A key challenge in sequential decision making is optimizing systems safely under partial information. While much of the literature has focused on the cases of either partially know…