Cover Image

Policy Optimization for Personalized Interventions in Behavioral Health

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baek, Jackie, Boutilier, Justin J., Farias, Vivek F., Jonasson, Jonas Oddur, Yoeli, Erez
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Operational Dosage: Implications of Capacity Constraints for the Design and Interpretation of Experiments
by: Boutilier, Justin, et al.
Published: (2024)

Self-Normalized Resets for Plasticity in Continual Learning
by: Farias, Vivek F., et al.
Published: (2024)

Personalization of Large Foundation Models for Health Interventions
by: Konigorski, Stefan, et al.
Published: (2026)

Adaptive Interventions with User-Defined Goals for Health Behavior Change
by: Mandyam, Aishwarya, et al.
Published: (2023)

Symmetric Behavior Regularized Policy Optimization
by: Zhu, Lingwei, et al.
Published: (2025)

Deep Causal Behavioral Policy Learning: Applications to Healthcare
by: Knecht, Jonas, et al.
Published: (2025)

Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusion
by: Lu, Dingxin, et al.
Published: (2025)

The Sign Estimator: LLM Alignment in the Face of Choice Heterogeneity
by: Aouad, Ali, et al.
Published: (2025)

Misspecified Explore-then-Exploit Leads to Supra-Competitive Prices
by: Baek, Jackie, et al.
Published: (2026)

AI Agents for Inventory Control: Human-LLM-OR Complementarity
by: Baek, Jackie, et al.
Published: (2026)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
by: Kumar, Vivek, et al.
Published: (2025)

From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
by: Erez, Liad, et al.
Published: (2025)

Speeding up Policy Simulation in Supply Chain RL
by: Farias, Vivek, et al.
Published: (2024)

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
by: Wan, Zhenglin, et al.
Published: (2024)

Identifying Representations for Intervention Extrapolation
by: Saengkyongam, Sorawit, et al.
Published: (2023)

On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
by: Shankar, Kaaustaaub, et al.
Published: (2025)

Exploration Behavior of Untrained Policies
by: Adamczyk, Jacob
Published: (2025)

Prediction-Intervention Games and Invariant Sets
by: Kühne, Linus, et al.
Published: (2026)

Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
by: Wang, Jialu, et al.
Published: (2026)

Pragmatic Policy Development via Interpretable Behavior Cloning
by: Matsson, Anton, et al.
Published: (2025)

Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior
by: Gros, Timo P., et al.
Published: (2025)

Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)

Frictive Policy Optimization for LLMs: Epistemic Intervention, Risk-Sensitive Control, and Reflective Alignment
by: Pustejovsky, James, et al.
Published: (2026)

SCOPE: Sequential Causal Optimization of Process Interventions
by: De Moor, Jakob, et al.
Published: (2025)

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization
by: Ong, Keane, et al.
Published: (2026)

Learning Policy Representations for Steerable Behavior Synthesis
by: Li, Beiming, et al.
Published: (2026)

Trust-Region Behavior Blending for On-Policy Distillation
by: Plyusov, Daniil, et al.
Published: (2026)

Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training
by: Fakoor, Rasool, et al.
Published: (2026)

Wasserstein Policy Optimization
by: Pfau, David, et al.
Published: (2025)

Reflective Policy Optimization
by: Gan, Yaozhong, et al.
Published: (2024)

Diffusion Controller: Framework, Algorithms and Parameterization
by: Yang, Tong, et al.
Published: (2026)

Transferring Information Across Interventions in Causal Bayesian Optimization
by: Javidian, Mohammad Ali
Published: (2026)

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
by: Ge, Luise, et al.
Published: (2025)

Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)

Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)

From Parameters to Behaviors: Unsupervised Compression of the Policy Space
by: Tenedini, Davide, et al.
Published: (2025)

Fractal Landscapes in Policy Optimization
by: Wang, Tao, et al.
Published: (2023)

Soft Sequence Policy Optimization
by: Glazyrina, Svetlana, et al.
Published: (2026)

Single-stream Policy Optimization
by: Xu, Zhongwen, et al.
Published: (2025)