most citedAlgorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization

3 citations · 3 across the 5 of their papers we have counts for

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stat.ML2026

RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits

Tong Li, Thiago de Queiroz Casanova, Eric M. Schwartz +3

Real-world contextual bandit problems with complex reward models are often tackled with iteratively trained models, such as boosting trees. However, it is difficult to directly app…

stat.ML2026

Online Statistical Inference of Constant Sample-averaged Q-Learning

Saunak Kumar Panda, Tong Li, Ruiqi Liu +1

Reinforcement learning algorithms have been widely used for decision-making tasks in various domains. However, the performance of these algorithms can be impacted by high variance…