arXiv stat.ML
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Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning
arXiv:2607.08444v1 Announce Type: new Abstract: In this paper, we study quantile-based distributional reinforcement learning from the perspective of statistical efficiency. We focus on distributional policy evaluation, whose goal is to characterize the return distribution, namely the distribution of discounted cumulati