Debiased Off-Policy Evaluation for Recommendation Systems

Yusuke Narita, Shota Yasui, Kohei Yata

Efficient methods to evaluate new algorithms are critical for improving interactive bandit and reinforcement learning systems such as recommendation systems. A/B tests are reliable…