Efficient Counterfactual Learning from Bandit Feedback

1. 2022A Review of Off-Policy Evaluation in Reinforcement Learningcited by 92
2. 2022Off-Policy Evaluation for Large Action Spaces via Embeddingscited by 53
3. 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modelingcited by 34
4. 2021Evaluating the Robustness of Off-Policy Evaluationcited by 32
5. 2021Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learningcited by 15
6. 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choicescited by 12
7. 2021Top-k eXtreme Contextual Bandits with Arm Hierarchycited by 8
8. 2022Offline Policy Optimization with Eligible Actionscited by 7
9. 2023On-Policy Policy Gradient Reinforcement Learning Without On-Policy Samplingcited by 6
10. 2024Off-policy estimation with adaptively collected data: the power of online learningcited by 3
11. 2021Dynamic Selection in Algorithmic Decision-makingcited by 1
12. 2026Bayesian Inference of Contextual Bandit Policies via Empirical Likelihoodcited by 1

1. 2026Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood11 Feb 2026
2. 2025Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies1 Aug 2025
3. 2024Off-policy estimation with adaptively collected data: the power of online learning19 Nov 2024
4. 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices6 Mar 2024
5. 2023On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling14 Nov 2023
6. 2023Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning28 Aug 2023
7. 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling14 May 2023
8. 2022A Review of Off-Policy Evaluation in Reinforcement Learning13 Dec 2022
9. 2022Offline Policy Optimization with Eligible Actions1 Jul 2022
10. 2022Off-Policy Evaluation for Large Action Spaces via Embeddings13 Feb 2022
11. 2021Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning29 Nov 2021
12. 2021Evaluating the Robustness of Off-Policy Evaluation31 Aug 2021

1. 2022Offline Policy Optimization with Eligible Actionscited by 7
2. 2023Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learningcited by 0

1. 2023Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning28 Aug 2023
2. 2022Offline Policy Optimization with Eligible Actions1 Jul 2022

1. 2022A Review of Off-Policy Evaluation in Reinforcement Learningcited by 92
2. 2022Off-Policy Evaluation for Large Action Spaces via Embeddingscited by 53
3. 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modelingcited by 34
4. 2021Evaluating the Robustness of Off-Policy Evaluationcited by 32
5. 2021Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learningcited by 15
6. 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choicescited by 12
7. 2021Top-k eXtreme Contextual Bandits with Arm Hierarchycited by 8
8. 2023On-Policy Policy Gradient Reinforcement Learning Without On-Policy Samplingcited by 6
9. 2024Off-policy estimation with adaptively collected data: the power of online learningcited by 3
10. 2021Dynamic Selection in Algorithmic Decision-makingcited by 1
11. 2026Bayesian Inference of Contextual Bandit Policies via Empirical Likelihoodcited by 1
12. 2021Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probabilitycited by 0

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1. 2026Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood11 Feb 2026
2. 2025Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies1 Aug 2025
3. 2024Off-policy estimation with adaptively collected data: the power of online learning19 Nov 2024
4. 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices6 Mar 2024
5. 2023On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling14 Nov 2023
6. 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling14 May 2023
7. 2022A Review of Off-Policy Evaluation in Reinforcement Learning13 Dec 2022
8. 2022Off-Policy Evaluation for Large Action Spaces via Embeddings13 Feb 2022
9. 2021Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning29 Nov 2021
10. 2021Evaluating the Robustness of Off-Policy Evaluation31 Aug 2021
11. 2021Dynamic Selection in Algorithmic Decision-making28 Aug 2021
12. 2021Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability17 Feb 2021

12 newest of 13 · All 13 (JSON)