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Online Inference in Distributional Temporal-Difference Learning

Peng, Yang et al.
arXiv (All) · Papers
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machine-learning
We study online statistical inference for functionals of the return distribution under a fixed policy. The return distribution is estimated by nonparametric distributional temporal-difference learning from a single Markov trajectory. For the Polyak--Ruppert averaged estimator, we prove that its root
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