Facebook's Cyber-Cyber and Cyber-Physical Digital Twins. - John Ahlgren; Kinga Bojarczuk; Sophia Drossopoulou; Inna Dvortsova; Johann George; Natalija Gucevska; Mark Harman; Maria Lomeli; Simon M. M. Lucas; Erik Meijer 001; Steve Omohundro; Rubmary Rojas; et al. (EASE, 2021)

Personalization for Web-based Services using Offline Reinforcement Learning. - Pavlos Athanasios Apostolopoulos; Zehui Wang; Hanson Wang; Chad Zhou; Kittipat Virochsiri; Norm Zhou; Igor L. Markov (CoRR, 2021)

Looper: An End-to-End ML Platform for Product Decisions. - Igor L. Markov; Hanson Wang; Nitya S. Kasturi; Shaun Singh; Mia R. Garrard; Yin Huang; Sze Wai Celeste Yuen; Sarah Tran; Zehui Wang; Igor Glotov; Tanvi Gupta; Peng Chen; et al. (KDD, 2022)

Scalable End-to-End ML Platforms: from AutoML to Self-serve. - Igor L. Markov; Pavlos Athanasios Apostolopoulos; Mia Garrard; Tianyu Qie; Yin Huang; Tanvi Gupta; Anika Li; Cesar Cardoso; George Han; Ryan Maghsoudian; Norm Zhou (CoRR, 2023)

Practical Policy Optimization with Personalized Experimentation. - Mia Garrard; Hanson Wang; Ben Letham; Shaun Singh; Abbas Kazerouni; Sarah Tan; Zehui Wang; Yin Huang; Yichun Hu; Chad Zhou; Norm Zhou; Eytan Bakshy (CoRR, 2023)

Personalization for web-based services using offline reinforcement learning. - Pavlos Athanasios Apostolopoulos; Zehui Wang; Hanson Wang; Tenghyu Xu; Chad Zhou; Kittipat Virochsiri; Norm Zhou; Igor L. Markov (Mach. Learn., 2024)