Reinforcement Learning in Latent Heterogeneous Environments

DOI10.1080/01621459.2024.2308317MaRDI QIDQ6651418

Michael I. Jordan, Elynn Y. Chen, Rui Song

Publication date: 10 December 2024

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Nearly unbiased variable selection under minimax concave penalty
• Optimizing active surveillance for prostate cancer using partially observable Markov decision processes
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Constructing dynamic treatment regimes over indefinite time horizons
• The variance of discounted Markov decision processes
• Discretizing Unobserved Heterogeneity
• Statistical Foundations of Data Science
• Estimating Dynamic Treatment Regimes in Mobile Health Using V-Learning
• Grouping Pursuit Through a Regularization Solution Surface
• Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
• Statistical inference of the value function for reinforcement learning in infinite-horizon settings

This page was built for publication: Reinforcement Learning in Latent Heterogeneous Environments