most citedLower Bound On the Computational Complexity of Discounted Markov Decision Problems

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cs.LG2018

Scalable Bilinear Learning Using State and Action Features

Yichen Chen, Lihong Li, Mengdi Wang

Approximate linear programming (ALP) represents one of the major algorithmic families to solve large-scale Markov decision processes (MDP). In this work, we study a primal-dual for…