most citedProvably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2024

Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization

Youbang Sun, Tao Liu, P. R. Kumar +1

This work focuses on the entropy-regularized independent natural policy gradient (NPG) algorithm in multi-agent reinforcement learning. In this work, agents are assumed to have acc…

cs.LG2024

Provable Policy Gradient Methods for Average-Reward Markov Potential Games

Min Cheng, Ruida Zhou, P. R. Kumar +1

We study Markov potential games under the infinite horizon average reward criterion. Most previous studies have been for discounted rewards. We prove that both algorithms based on…

cs.LG2023★ 2 cited

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games

Youbang Sun, Tao Liu, Ruida Zhou +2

This work studies an independent natural policy gradient (NPG) algorithm for the multi-agent reinforcement learning problem in Markov potential games. It is shown that, under mild…