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stat.ML2023★ 1 cited
Post Reinforcement Learning Inference
Vasilis Syrgkanis, Ruohan Zhan
We study estimation and inference using data collected by reinforcement learning (RL) algorithms. These algorithms adaptively experiment by interacting with individual units over m…
stat.ML2021
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
Ruohan Zhan, Vitor Hadad, David A. Hirshberg +1
It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be used to evaluate other treatment as…
stat.ML2021
Policy Learning with Adaptively Collected Data
Ruohan Zhan, Zhimei Ren, Susan Athey +1
Learning optimal policies from historical data enables personalization in a wide variety of applications including healthcare, digital recommendations, and online education. The gr…