Scalable Bilinear Learning Using State and Action Features

Yichen Chen, Lihong Li, Mengdi Wang

Abstract: 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 formulation of the A...