Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
Fuente:
arXiv
Saved in:
| Main Authors: | Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Yan, Iris, Doshi-Velez, Finale, Murphy, Susan A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Oralytics Reinforcement Learning Algorithm
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Dyadic Reinforcement Learning
by: Li, Shuangning, et al.
Published: (2023)
by: Li, Shuangning, et al.
Published: (2023)
Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)
by: Trella, Anna L., et al.
Published: (2024)
Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning
by: Hüyük, Alihan, et al.
Published: (2025)
by: Hüyük, Alihan, et al.
Published: (2025)
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
by: Zick, Tom, et al.
Published: (2024)
by: Zick, Tom, et al.
Published: (2024)
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
by: Nofshin, Eura, et al.
Published: (2024)
by: Nofshin, Eura, et al.
Published: (2024)
MiWaves Reinforcement Learning Algorithm
by: Ghosh, Susobhan, et al.
Published: (2024)
by: Ghosh, Susobhan, et al.
Published: (2024)
On the Effective Horizon of Inverse Reinforcement Learning
by: Xu, Yiqing, et al.
Published: (2023)
by: Xu, Yiqing, et al.
Published: (2023)
Reproducible workflow for online AI in digital health
by: Ghosh, Susobhan, et al.
Published: (2025)
by: Ghosh, Susobhan, et al.
Published: (2025)
Reinforcement Learning on Dyads to Enhance Medication Adherence
by: Xu, Ziping, et al.
Published: (2025)
by: Xu, Ziping, et al.
Published: (2025)
Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors
by: Weng, Yidou, et al.
Published: (2024)
by: Weng, Yidou, et al.
Published: (2024)
Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
by: Dziak, John J., et al.
Published: (2025)
by: Dziak, John J., et al.
Published: (2025)
Quantifying Potential Observation Missingness in Inverse Reinforcement Learning
by: Benac, Leo, et al.
Published: (2026)
by: Benac, Leo, et al.
Published: (2026)
Decision-Focused Model-based Reinforcement Learning for Reward Transfer
by: Sharma, Abhishek, et al.
Published: (2023)
by: Sharma, Abhishek, et al.
Published: (2023)
Evaluating time-varying treatment effects in hybrid SMART-MRT designs
by: Li, Mengbing, et al.
Published: (2026)
by: Li, Mengbing, et al.
Published: (2026)
Inverse Reinforcement Learning with Multiple Planning Horizons
by: Yao, Jiayu, et al.
Published: (2024)
by: Yao, Jiayu, et al.
Published: (2024)
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
by: Shen, Xudong, et al.
Published: (2023)
by: Shen, Xudong, et al.
Published: (2023)
Replicable Bandits for Digital Health Interventions
by: Zhang, Kelly W., et al.
Published: (2024)
by: Zhang, Kelly W., et al.
Published: (2024)
reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use
by: Ghosh, Susobhan, et al.
Published: (2024)
by: Ghosh, Susobhan, et al.
Published: (2024)
Demonstrative Evidence and the Use of Algorithms in Jury Trials
by: Rogers, Rachel, et al.
Published: (2023)
by: Rogers, Rachel, et al.
Published: (2023)
Guarantee Regions for Local Explanations
by: Havasi, Marton, et al.
Published: (2024)
by: Havasi, Marton, et al.
Published: (2024)
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders
by: Yacoby, Yaniv, et al.
Published: (2024)
by: Yacoby, Yaniv, et al.
Published: (2024)
Diverse Concept Proposals for Concept Bottleneck Models
by: Brown, Katrina, et al.
Published: (2024)
by: Brown, Katrina, et al.
Published: (2024)
Towards Integrating Personal Knowledge into Test-Time Predictions
by: Lage, Isaac, et al.
Published: (2024)
by: Lage, Isaac, et al.
Published: (2024)
A Benchmark to Assess Common Ground in Human-AI Collaboration
by: Poelitz, Christian, et al.
Published: (2026)
by: Poelitz, Christian, et al.
Published: (2026)
Personalized and Context-Aware Transformer Models for Predicting Post-Intervention Physiological Responses from Wearable Sensor Data
by: Brown, Esther, et al.
Published: (2026)
by: Brown, Esther, et al.
Published: (2026)
Bayesian Inverse Transition Learning: Learning Dynamics From Near-Optimal Trajectories
by: Benac, Leo, et al.
Published: (2024)
by: Benac, Leo, et al.
Published: (2024)
Shaping AI's Impact on Billions of Lives
by: Cuéllar, Mariano-Florentino, et al.
Published: (2024)
by: Cuéllar, Mariano-Florentino, et al.
Published: (2024)
Connecting Federated ADMM to Bayes
by: Swaroop, Siddharth, et al.
Published: (2025)
by: Swaroop, Siddharth, et al.
Published: (2025)
A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
by: Benac, Leo, et al.
Published: (2026)
by: Benac, Leo, et al.
Published: (2026)
Decision-Point Guided Safe Policy Improvement
by: Sharma, Abhishek, et al.
Published: (2024)
by: Sharma, Abhishek, et al.
Published: (2024)
Fairness in Limited Resources Settings
by: Bachmat, Eitan, et al.
Published: (2026)
by: Bachmat, Eitan, et al.
Published: (2026)
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning
by: Nofshin, Eura, et al.
Published: (2024)
by: Nofshin, Eura, et al.
Published: (2024)
Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023)
by: Ghosh, Rik, et al.
Published: (2023)
Federated ADMM from Bayesian Duality
by: Möllenhoff, Thomas, et al.
Published: (2025)
by: Möllenhoff, Thomas, et al.
Published: (2025)
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
by: Swaroop, Siddharth, et al.
Published: (2023)
by: Swaroop, Siddharth, et al.
Published: (2023)
Data integration methods for micro-randomized trials
by: Huch, Easton, et al.
Published: (2024)
by: Huch, Easton, et al.
Published: (2024)
Corruption Plots: Stories, Ethics, and Publics of the Late Capitalist City: Commentary and Acknowledgement of the Anthony Leeds Prize in Urban Anthropology
by: Sapana Doshi, et al.
Published: (2025)
by: Sapana Doshi, et al.
Published: (2025)
Similar Items
-
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
by: Trella, Anna L., et al.
Published: (2024) -
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
by: Trella, Anna L., et al.
Published: (2024) -
Oralytics Reinforcement Learning Algorithm
by: Trella, Anna L., et al.
Published: (2024) -
Dyadic Reinforcement Learning
by: Li, Shuangning, et al.
Published: (2023) -
Non-Stationary Latent Auto-Regressive Bandits
by: Trella, Anna L., et al.
Published: (2024)