Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data. - Anna L. Trella; Peniel N. Argaw; Michelle M. Li; James A. Hay (CoRR, 2021)

Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (Algorithms, 2022)

Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (AAAI, 2023)

Non-Stationary Latent Auto-Regressive Bandits. - Anna L. Trella; Walter Dempsey; Finale Doshi-Velez; Susan A. Murphy (CoRR, 2024)

Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials. - Anna L. Trella; Kelly W. Zhang; Inbal Nahum-Shani; Vivek Shetty; Iris Yan; Finale Doshi-Velez; Susan A. Murphy (CoRR, 2024)

Oralytics Reinforcement Learning Algorithm. - Anna L. Trella; Kelly W. Zhang; Stephanie Marita Carpenter; David Elashoff; Zara M. Greer; Inbal Nahum-Shani; Dennis Ruenger; Vivek Shetty; Susan A. Murphy (CoRR, 2024)

Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. - Anna L. Trella; Susobhan Ghosh; Erin E. Bonar; Lara N. Coughlin; Finale Doshi-Velez; Yongyi Guo; Pei-Yao Hung; Inbal Nahum-Shani; Vivek Shetty; Maureen A. Walton; Iris Yan; Kelly W. Zhang; et al. (CoRR, 2024)

A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial. - Anna L. Trella; Kelly W. Zhang; Hinal Jajal; Inbal Nahum-Shani; Vivek Shetty; Finale Doshi-Velez; Susan A. Murphy (AAAI, 2025)