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Ge-Fei Lin

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#machine learning Preprint Sep 2026

Finite-Sample Theory for Fitted Q-Iteration When Actions Are Functions

Offline reinforcement learning seeks optimal decision rules from previously collected data. In some applications, a decision can be an entire function, such as a fluence map in radiation therapy or a smooth movement trajectory in robotics. In this paper, we study the finite-sample theory for fitted Q-iteration (FQI) wi...

Ge-Fei Lin, Rui Miao, Xiao-Ke Zhang · 0 citations