Policy Learning with Adaptively Collected Data

Policy Learning with Adaptively Collected Data

5 May 2021

Papers citing "Policy Learning with Adaptively Collected Data"

10 / 10 papers shown

Title
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 33 3 0 06 Jan 2024
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 32 25 0 19 Dec 2022
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation Thanh Nguyen-Tang Ming Yin Sunil R. Gupta Svetha Venkatesh R. Arora OffRL 58 16 0 23 Nov 2022
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning Susan Athey Undral Byambadalai Vitor Hadad Sanath Kumar Krishnamurthy Weiwen Leung Joseph Jay Williams 32 13 0 22 Nov 2022
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency Wenlong Mou Martin J. Wainwright Peter L. Bartlett OffRL 33 11 0 26 Sep 2022
Upper bounds on the Natarajan dimensions of some function classes Yingji Jin 36 6 0 15 Sep 2022
Non-Stationary Representation Learning in Sequential Linear Bandits Yuzhen Qin Tommaso Menara Samet Oymak ShiNung Ching Fabio Pasqualetti OffRL 40 17 0 13 Jan 2022
Efficient Online Estimation of Causal Effects by Deciding What to Observe Shantanu Gupta Zachary Chase Lipton David Benjamin Childers CML 32 18 0 20 Aug 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020