Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
No confident code implementation found for this paper.
No confident code implementation found for this paper.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes
Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
Competing Large Language Models in Multi-Agent Gaming Environments
Towards Addressing Label Skews in One-Shot Federated Learning
Knowledge Retention in Continual Model-Based Reinforcement Learning
@article{xie2026semiparametrically,
title = {Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes},
author = {Chuhan Xie and Wenhao Yang and Zhihua Zhang},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:131e208164e5e46f90108b6992cbcae6a510936d},
journal = {ICML 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/131e208164e5e46f90108b6992cbcae6a510936d)