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Alberto Castelo

4 papers

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papers

Publications (4)

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…

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: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM Agents

Han Li, Vibhor Malik, Zahra Zanjani Foumani +17

A/B testing remains the gold standard for evaluating modifications to e-commerce storefronts, yet it diverts traffic, requires weeks to reach statistical significance, and risks de…

cs.AI2026

SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce Agents

Zahra Zanjani Foumani, Alberto Castelo, Shuang Xie +3

LLM-based web agents can navigate live storefronts, yet they often collapse to a single "average buyer" policy, failing to capture the heterogeneous and distributional nature of re…

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