arXiv · 1911.07910
Comments on the Du-Kakade-Wang-Yang Lower Bounds
Abstract
Du, Kakade, Wang, and Yang recently established intriguing lower bounds on sample complexity, which suggest that reinforcement learning with a misspecified representation is intractable. Another line of work, which centers around a statistic called the eluder dimension, establishes tractability of problems similar to those considered in the Du-Kakade-Wang-Yang paper. We compare these results and reconcile interpretations.
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Benjamin Van Roy, Shi Dong. 2019-11-18. Comments on the Du-Kakade-Wang-Yang Lower Bounds. https://arxiv.org/abs/1911.07910
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