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• Statistical Inference After Adaptive Sampling For Longitudinal Data
  2022 · 3 citations
• Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health
  2020 · 2 citations
• Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning
  2024 · 2 citations
• Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
  2022 · 1 citations
• The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
  2023 · 1 citations
• A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
  2024 · 1 citations
• Comparison and Unification of Three Regularization Methods in Batch Reinforcement Learning
  2021
• Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
  2023
• Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
  2024
• The Fallacy of Minimizing Cumulative Regret in the Sequential Task Setting
  2024
• BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
  2024