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Reinforcement Learning in MDPs with Information-Ordered Policies

This work develops an epoch-based reinforcement learning algorithm for infinite-horizon average-cost MDPs with continuous state and action spaces that exploits this order through counterfactual inference and instantiates the framework in lost-sales inventory systems with positive lead times, dual-sourcing systems gover...

Zhongju Zhang, Shipra Agrawal, Ilan Lobel et al. · 1 citation
Preprint Oct 2026

Surrogate-powered Causal Inference with Censored Outcomes

Clinical trials with survival endpoints lose information when participants are censored before death is observed. We develop target-preserving estimators that use posttreatment disease history, such as recurrence or progression, to recover information lost to censoring for marginal survival and restricted mean survival...

Yaroslav Mukhin, Tereza Oprea, Arielle Anderer et al. · 0 citations

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