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stat.ML2026
Near-Minimax-Optimal Rates for Asynchronous TD Learning with Markovian Data
Yang Peng
We study the last iterate of standard importance-weighted temporal-difference (TD) learning from a single trajectory of a finite Markov decision process. The trajectory follows a b…
stat.ML2026
Online Inference in Distributional Temporal-Difference Learning
Yang Peng, Liangyu Zhang
We study online statistical inference for functionals of the return distribution under a fixed policy. The return distribution is estimated by nonparametric distributional temporal…