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most citedNon-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning

2 citations · 2 across the 8 of their papers we have counts for

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stat.ME2024

Data-light Uncertainty Set Merging with Admissibility

Shenghao Qin, Jianliang He, Qi Kuang +2

This article introduces a Synthetics, Aggregation, and Test inversion (SAT) approach for merging diverse and potentially dependent uncertainty sets into a single unified set. The p…