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stat.ML2023
Estimation and Inference in Distributional Reinforcement Learning
Liangyu Zhang, Yang Peng, Jiadong Liang +2
In this paper, we study distributional reinforcement learning from the perspective of statistical efficiency. We investigate distributional policy evaluation, aiming to estimate th…
stat.ML2023★ 1 cited
Robust Markov Decision Processes without Model Estimation
Wenhao Yang, Han Wang, Tadashi Kozuno +2
Robust Markov Decision Processes (MDPs) are receiving much attention in learning a robust policy which is less sensitive to environment changes. There are an increasing number of w…