Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions

27 October 2022

Papers citing "Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions"

8 / 8 papers shown

Title
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation P. Amortila Nan Jiang Csaba Szepesvári OffRL 21 3 0 25 Jul 2023
Offline Reinforcement Learning with Additional Covering Distributions Chenjie Mao OffRL 23 0 0 22 May 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 28 14 0 10 Feb 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage Masatoshi Uehara Nathan Kallus Jason D. Lee Wen Sun OffRL 37 5 0 05 Feb 2023
Reinforcement Learning in Low-Rank MDPs with Density Features Audrey Huang Jinglin Chen Nan Jiang OffRL 13 14 0 04 Feb 2023
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 36 47 0 13 Dec 2022
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 16 87 0 12 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019