Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings

29 October 2020

Papers citing "Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings"

8 / 8 papers shown

Title
Doubly Robust Fusion of Many Treatments for Policy Learning Ke Zhu Jianing Chu I. Lipkovich Wenyu Ye Shu Yang 39 0 0 12 May 2025
Balanced Off-Policy Evaluation for Personalized Pricing Adam N. Elmachtoub Vishal Gupta Yunfan Zhao OffRL 42 6 0 24 Feb 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 58 5 0 29 Jan 2023
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions Haanvid Lee Jongmin Lee Yunseon Choi Wonseok Jeon Byung-Jun Lee Yung-Kyun Noh Kee-Eung Kim OffRL 14 5 0 24 Oct 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 35 11 0 14 Apr 2022
Safe Exploration for Efficient Policy Evaluation and Comparison Runzhe Wan Branislav Kveton Rui Song OffRL 38 10 0 26 Feb 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets C. Shi Runzhe Wan Ge Song Shuang Luo R. Song Hongtu Zhu OffRL 43 6 0 21 Feb 2022
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 46 183 0 22 Aug 2019