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20152026
most citedFinite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning

50 citations · 194 across the 41 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.MA2022★ 2 cited

Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games

Dingyang Chen, Qi Zhang, Thinh T. Doan

We study the performance of policy gradient methods for the subclass of Markov games known as Markov potential games (MPGs), which extends the notion of normal-form potential games…

math.OC2022★ 1 cited

Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games

Sihan Zeng, Thinh T. Doan, Justin Romberg

We study the problem of finding the Nash equilibrium in a two-player zero-sum Markov game. Due to its formulation as a minimax optimization program, a natural approach to solve the…