Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning | Paper Citation Record

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This paper cites Formulation and estimation of dynamic models using panel data.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Formulation and estimation of dynamic models using panel data

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Doubly robust identification for causal panel data models

Reference 2

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Design-based analysis in difference-in-differences settings with staggered adoption

Reference 3

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Econometric analysis of panel data, volume 4

Reference 4

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Genetic risk profiles for cancer susceptibility and therapy response

Reference 5

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This paper cites Proximal reinforcement learning: Efficient off-policy evaluation in partially observed markov decision processes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Proximal reinforcement learning: Efficient off-policy evaluation in partially observed markov decision processes

Reference 6

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This paper cites Off-policy Evaluation in Doubly Inhomogeneous Environments.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy Evaluation in Doubly Inhomogeneous Environments

Reference 7

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This paper cites Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Time series deconfounder: Estimating treatment effects over time in the presence of hidden confounders

Reference 8

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This paper cites Robust fitted-q-evaluation and iteration under sequentially exogenous unobserved confounders.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Robust fitted-q-evaluation and iteration under sequentially exogenous unobserved confounders

Reference 9

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This paper cites Treatment effects in interactive fixed effects models with a small number of time periods.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Treatment effects in interactive fixed effects models with a small number of time periods

Reference 10

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Statistical inference

Reference 11

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Observation 674bde1d-3223-409c-babe-49b6fe6a5f80 · outbound

This paper cites Universal off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Universal off-policy evaluation

Reference 12

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Testing for the markov property in time series

Reference 13

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This paper cites Information-Theoretic Considerations in Batch Reinforcement Learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Information-Theoretic Considerations in Batch Reinforcement Learning

Reference 14

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This paper cites On well-posedness and minimax optimal rates of nonparametric q-function estimation in off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning On well-posedness and minimax optimal rates of nonparametric q-function estimation in off-policy evaluation

Reference 15

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This paper cites On instrumental variable regression for deep offline policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning On instrumental variable regression for deep offline policy evaluation

Reference 16

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This paper cites Double/debiased machine learning for treatment and structural parameters.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Double/debiased machine learning for treatment and structural parameters

Reference 17

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This paper cites A crash course in good and bad controls.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A crash course in good and bad controls

Reference 18

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This paper cites Coindice: Off-policy confidence interval estimation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Coindice: Off-policy confidence interval estimation

Reference 19

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This paper cites Comment: Reflections on the deconfounder, 2019.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Comment: Reflections on the deconfounder, 2019

Reference 20

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This paper cites Two-way fixed effects estimators with heterogeneous treatment effects.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Two-way fixed effects estimators with heterogeneous treatment effects

Reference 21

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This paper cites Counterfactual inference in sequential experiments.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Counterfactual inference in sequential experiments

Reference 22

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This paper cites A theoretical analysis of deep q-learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A theoretical analysis of deep q-learning

Reference 23

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This paper cites More robust doubly robust off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning More robust doubly robust off-policy evaluation

Reference 24

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This paper cites Deep neural networks for estimation and inference.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Deep neural networks for estimation and inference

Reference 25

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This paper cites Non-parametric panel data models with interactive fixed effects.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Non-parametric panel data models with interactive fixed effects

Reference 26

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This paper cites Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes

Reference 27

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This paper cites Prediction of treatment response for combined chemo-and radiation therapy for non-small cell lung cancer patients using a bio-mathematical model.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Prediction of treatment response for combined chemo-and radiation therapy for non-small cell lung cancer patients using a bio-mathematical model

Reference 28

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Issues in assessing the contribution of research and development to productivity growth

Reference 29

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This paper cites Richard Guo, Anton Rask Lundborg, and Qingyuan Zhao.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Richard Guo, Anton Rask Lundborg, and Qingyuan Zhao

Reference 30

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This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Dream to Control: Learning Behaviors by Latent Imagination

Reference 31

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Learning latent dynamics for planning from pixels

Reference 32

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This paper cites Bootstrapping fitted q-evaluation for off-policy inference.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Bootstrapping fitted q-evaluation for off-policy inference

Reference 33

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Sequential Deconfounding for Causal Inference with Unobserved Confounders

Reference 34

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Neural collaborative filtering

Reference 35

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A Policy Gradient Method for Confounded POMDPs

Reference 36

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Collaborative filtering for implicit feedback datasets

Reference 37

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This paper cites On the use of two-way fixed effects regression models for causal inference with panel data.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning On the use of two-way fixed effects regression models for causal inference with panel data

Reference 38

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This paper cites Off-policy evaluation via off-policy classification.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy evaluation via off-policy classification

Reference 39

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning When to trust your model: Model-based policy optimization

Reference 40

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A survey on knowledge graphs: Representation, acquisition, and applications

Reference 41

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning

Reference 42

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This paper cites Doubly robust off-policy value evaluation for reinforcement learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Doubly robust off-policy value evaluation for reinforcement learning

Reference 43

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This paper cites Mimic-iii, a freely accessible critical care database.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Mimic-iii, a freely accessible critical care database

Reference 44

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This paper cites Efficiently breaking the curse of horizon in off-policy evaluation with double reinforcement learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Efficiently breaking the curse of horizon in off-policy evaluation with double reinforcement learning

Reference 45

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Confounding-robust policy evaluation in infinite-horizon reinforcement learning

Reference 46

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Offline Policy Evaluation and Optimization under Confounding

Reference 47

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Learning mixtures of markov chains and mdps

Reference 48

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This paper cites Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

Reference 49

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning

Reference 50

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This paper cites Off-policy estimation of long-term average outcomes with applications to mobile health.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy estimation of long-term average outcomes with applications to mobile health

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.705579Z

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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Batch policy learning in average reward markov decision processes

Reference 52

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This paper cites Forecasting treatment responses over time using recurrent marginal structural networks.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Forecasting treatment responses over time using recurrent marginal structural networks

Reference 53

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This paper cites Breaking the curse of horizon: Infinite-horizon off-policy estimation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Breaking the curse of horizon: Infinite-horizon off-policy estimation

Reference 54

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Observation 0cc27e4d-b8ac-4b9f-bd0f-8969dd803f30 · outbound

This paper cites Provably good batch off-policy reinforcement learning without great exploration.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Provably good batch off-policy reinforcement learning without great exploration

Reference 55

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Observation 6020fd7c-11f3-408c-8ef3-d621c217b820 · outbound

This paper cites Causal effect inference with deep latent-variable models.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Causal effect inference with deep latent-variable models

Reference 56

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This paper cites Deconfounding Reinforcement Learning in Observational Settings.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Deconfounding Reinforcement Learning in Observational Settings

Reference 57

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This paper cites Pessimism in the face of confounders: Provably efficient offline reinforcement learning in partially observable markov decision processes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Pessimism in the face of confounders: Provably efficient offline reinforcement learning in partially observable markov decision processes

Reference 58

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Observation 4a51b86d-dc62-426d-afdc-9fa3765d7c6b · outbound

This paper cites Estimating causal peer influence in homophilous social networks by inferring latent locations.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Estimating causal peer influence in homophilous social networks by inferring latent locations

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.623463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32153b46-476a-4467-aeae-7b83e851470e · outbound

This paper cites Off-policy evaluation for episodic partially observable markov decision processes under non-parametric models.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy evaluation for episodic partially observable markov decision processes under non-parametric models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.609868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fc41d0e5-9d07-4f21-8904-5012e55c1384 · outbound

This paper cites Empirical production function free of management bias.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Empirical production function free of management bias

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.595983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56e8f4d9-725a-4e58-8577-1a4e69e10266 · outbound

This paper cites A Spectral Approach to Off-Policy Evaluation for POMDPs.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A Spectral Approach to Off-Policy Evaluation for POMDPs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.290906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f99efe-7629-4a6a-9394-86ee51e38913 · outbound

This paper cites Off-policy policy evaluation for sequential decisions under unobserved confounding.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy policy evaluation for sequential decisions under unobserved confounding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.582136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54907508-141e-4877-a4e4-f4268c6c760a · outbound

This paper cites A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.299285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57eeb98-a197-4cfd-92f9-518be18c6ab6 · outbound

This paper cites A review of relational machine learning for knowledge graphs.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A review of relational machine learning for knowledge graphs

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.567741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eca033d3-c3ed-4dac-b4a0-4093929bb8f9 · outbound

This paper cites Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.553282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0502d09e-fd3a-4c68-99bd-16bd2ce1a339 · outbound

This paper cites blessings of multiple causes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning blessings of multiple causes

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.313162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd511ddc-54a8-4ae9-8bf4-841a0c66b884 · outbound

This paper cites Counterexamples to "The Blessings of Multiple Causes" by Wang and Blei.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Counterexamples to "The Blessings of Multiple Causes" by Wang and Blei

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.317636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03a237d-00ca-423b-81c7-15fef16315ff · outbound

This paper cites A critical look at the consistency of causal estimation with deep latent variable models.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A critical look at the consistency of causal estimation with deep latent variable models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.539284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0df06961-fb28-404c-9c24-a728d438e613 · outbound

This paper cites Doubly robust difference-in-differences estimators.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Doubly robust difference-in-differences estimators

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.525737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4e00b95-682b-4952-895e-f771f7975623 · outbound

This paper cites Importance resampling for off-policy prediction.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Importance resampling for off-policy prediction

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.511247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76918f35-ec26-4eb2-a005-7527cb92a1ce · outbound

This paper cites Nonparametric regression using deep neural networks with relu activation function.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Nonparametric regression using deep neural networks with relu activation function

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.336054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c94b25b5-0eb0-49ce-b030-b6d9692cd316 · outbound

This paper cites On counterfactual inference with unobserved confounding.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning On counterfactual inference with unobserved confounding

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:26:49.773072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 067ac510-944f-4d18-b6cb-84dc2de34cb7 · outbound

This paper cites Does the markov decision process fit the data: Testing for the markov property in sequential decision making.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Does the markov decision process fit the data: Testing for the markov property in sequential decision making

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.495984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dba602c9-a56e-4e02-af6c-fd7fbd4fcb16 · outbound

This paper cites Deeply-debiased off-policy interval estimation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Deeply-debiased off-policy interval estimation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.481440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01a0abe7-28ec-40c9-b6fa-76afeb142d23 · outbound

This paper cites A minimax learning approach to off-policy evaluation in confounded partially observable markov decision processes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning A minimax learning approach to off-policy evaluation in confounded partially observable markov decision processes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.467036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9397cc0a-09a2-462f-8e3e-0ea8651c291e · outbound

This paper cites Statistical inference of the value function for reinforcement learning in infinite-horizon settings.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Statistical inference of the value function for reinforcement learning in infinite-horizon settings

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.451972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f75aea1e-95db-497e-83dd-6c2ecff17798 · outbound

This paper cites Off-policy confidence interval estimation with confounded markov decision process.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy confidence interval estimation with confounded markov decision process

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.437357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 611f730e-97af-4690-94ad-937ecc2f2c3f · outbound

This paper cites Mediation pathway selection with unmeasured mediator-outcome confounding.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Mediation pathway selection with unmeasured mediator-outcome confounding

Reference 79

Resolution: verified exact; raw_fallback, observed 2026-08-11T20:26:49.752062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a207d18-b0e6-48f3-9c1d-8d6dfc330435 · outbound

This paper cites Reasoning with neural tensor networks for knowledge base completion.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Reasoning with neural tensor networks for knowledge base completion

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.371847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf13f72-5146-4824-b96b-f6c32cf73b4b · outbound

This paper cites Reinforcement learning: An introduction.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Reinforcement learning: An introduction

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.376356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e254b7c3-ddd9-4d3c-a61e-477b512f9f93 · outbound

This paper cites Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.381181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5acfdd-eea0-4bea-915a-509ac1b12643 · outbound

This paper cites An Introduction to Proximal Causal Learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning An Introduction to Proximal Causal Learning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.385666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53839b7-c0a4-4ed0-a2b4-dde6c539d20f · outbound

This paper cites Off-policy evaluation in partially observable environments.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Off-policy evaluation in partially observable environments

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.405119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b35f4a5-8d54-4921-9d90-dacbeb46223a · outbound

This paper cites Data-efficient off-policy policy evaluation for reinforcement learning.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Data-efficient off-policy policy evaluation for reinforcement learning

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.391180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3538c71c-a3a8-4ff6-975c-c9a846b1b822 · outbound

This paper cites High-confidence off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning High-confidence off-policy evaluation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.376590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa3f4e79-c057-494b-94b1-6dd011a90948 · outbound

This paper cites Implicit Causal Models for Genome-wide Association Studies.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Implicit Causal Models for Genome-wide Association Studies

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.403988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e91b53c-552f-45e5-ad6e-80d394d79687 · outbound

This paper cites Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.408990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b9adc8-d1cd-4b59-b49e-c42fafb9b975 · outbound

This paper cites Minimax weight and q-function learning for off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Minimax weight and q-function learning for off-policy evaluation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.413790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f501c8cd-c13f-4e91-ab43-6980c84cd4be · outbound

This paper cites Using embeddings to correct for unobserved confounding in networks.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Using embeddings to correct for unobserved confounding in networks

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.352098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da6374d8-9829-4a5f-b237-bcc3689aef74 · outbound

This paper cites Adapting text embeddings for causal inference.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Adapting text embeddings for causal inference

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.423736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b16c69a-bd9d-4fc2-a840-e839d600de9d · outbound

This paper cites Relational deep learning: A deep latent variable model for link prediction.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Relational deep learning: A deep latent variable model for link prediction

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.329080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f3480fa-a383-465c-8444-211ed4b6ea20 · outbound

This paper cites Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.433207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b0b5083-cc16-4f7f-bcf0-a517aa9b41f3 · outbound

This paper cites Provably efficient causal reinforcement learning with confounded observational data.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Provably efficient causal reinforcement learning with confounded observational data

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.315863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bdf0cca4-42c4-44f5-a381-04d74a0cc6f8 · outbound

This paper cites The blessings of multiple causes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning The blessings of multiple causes

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.302272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62992a5b-55ea-4fb3-a59e-7beabeab7809 · outbound

This paper cites The Deconfounded Recommender: A Causal Inference Approach to Recommendation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning The Deconfounded Recommender: A Causal Inference Approach to Recommendation

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.447182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 358dc732-754a-4111-847a-086c856d366f · outbound

This paper cites Semiparametrically efficient off-policy evaluation in linear markov decision processes.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Semiparametrically efficient off-policy evaluation in linear markov decision processes

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.288702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c3c5a1d-a062-4258-96ee-c74991263fb6 · outbound

This paper cites Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Towards optimal off-policy evaluation for reinforcement learning with marginalized importance sampling

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.274909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb66cdb4-473c-43a7-a7f0-558b3da967f7 · outbound

This paper cites An instrumental variable approach to confounded off-policy evaluation.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning An instrumental variable approach to confounded off-policy evaluation

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:26:50.260239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7f363e52-78a9-4d07-b6c1-8d1bd082a64d · outbound

This paper cites Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T20:26:49.464366Z

Source-reported events for the cited work

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