3 papers
cs.AI2026
ShopGym: An Integrated Framework for Realistic Simulation and Scalable Benchmarking of E-Commerce Web Agents
Chinmay Savadikar, Mingyu Zhao, Yuanzheng Zhu +5
Developing and evaluating e-commerce web agents requires environments that preserve meaningful task structure while enabling controllable, reproducible, and scalable scientific com…
cs.AI2026
SimGym: Traffic-Grounded Browser Agents for Offline A/B Testing in E-Commerce
Alberto Castelo, Zahra Zanjani Foumani, Ailin Fan +17
A/B testing remains the gold standard for evaluating e-commerce UI changes, yet it diverts traffic, takes weeks to reach significance, and risks harming user experience. We introdu…
stat.ME2025
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
Jinyuan Chang, Cheng Yong Tang, Yuanzheng Zhu
In this study, we introduce a novel methodological framework called Bayesian Penalized Empirical Likelihood (BPEL), designed to address the computational challenges inherent in emp…