Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding

12 March 2020

Papers citing "Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding"

20 / 20 papers shown

Title
Learning Decision Policies with Instrumental Variables through Double Machine Learning Daqian Shao Ashkan Soleymani Francesco Quinzan Marta Z. Kwiatkowska 39 1 0 14 May 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation Yuheng Zhang Nan Jiang OffRL 29 4 0 22 Feb 2024
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 32 3 0 13 Oct 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 30 9 0 06 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 16 6 0 01 Jun 2023
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare Ge Gao Song Ju Markel Sanz Ausin Min Chi OffRL 29 8 0 18 Feb 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 44 6 0 24 Jan 2023
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 20 0 0 23 Dec 2022
Offline Policy Evaluation and Optimization under Confounding Chinmaya Kausik Yangyi Lu Kevin Tan Maggie Makar Yixin Wang Ambuj Tewari OffRL 26 8 0 29 Nov 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models Rui Miao Zhengling Qi Xiaoke Zhang OffRL 30 10 0 21 Sep 2022
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments Mengxin Yu Zhuoran Yang Jianqing Fan OffRL 21 8 0 23 Aug 2022
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain David Bruns-Smith CML ELM OffRL 24 12 0 02 Apr 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process C. Shi Jin Zhu Ye Shen Shuang Luo Hong Zhu R. Song OffRL 28 30 0 22 Feb 2022
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Universal Off-Policy Evaluation Yash Chandak S. Niekum Bruno C. da Silva Erik Learned-Miller Emma Brunskill Philip S. Thomas OffRL ELM 32 52 0 26 Apr 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 34 0 19 Feb 2021
Causal Markov Decision Processes: Learning Good Interventions Efficiently Yangyi Lu A. Meisami Ambuj Tewari 23 10 0 15 Feb 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 35 43 0 27 Jul 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang Shuang Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 30 33 0 05 Feb 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 38 181 0 22 Aug 2019