Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling

8 June 2019

Papers citing "Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling"

5 / 55 papers shown

Title
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 31 184 0 28 Oct 2019
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation Ziyang Tang Yihao Feng Lihong Li Dengyong Zhou Qiang Liu OffRL 30 67 0 16 Oct 2019
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling Yao Liu Pierre-Luc Bacon Emma Brunskill OffRL 22 45 0 15 Oct 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 26 88 0 12 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 43 183 0 22 Aug 2019