When is Offline Policy Selection Sample Efficient for Reinforcement Learning?

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Adaptive learn-then-test: Statistically valid and efficient hyperparameter selection

M Zecchin, O Simeone - arxiv preprint arxiv:2409.15844, 2024 - arxiv.org
We introduce adaptive learn-then-test (aLTT), an efficient hyperparameter selection
procedure that provides finite-sample statistical guarantees on the population risk of AI …
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