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20182024
most citedFast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

39 citations · 96 across the 14 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.OC2021★ 10 cited

Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization

Shicong Cen, Yuting Wei, Yuejie Chi

This paper investigates the problem of computing the equilibrium of competitive games, which is often modeled as a constrained saddle-point optimization problem with probability si…

cs.LG2021★ 8 cited

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence

Wenhao Zhan, Shicong Cen, Baihe Huang +3

Policy optimization, which finds the desired policy by maximizing value functions via optimization techniques, lies at the heart of reinforcement learning (RL). In addition to valu…