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20142026
most citedOn the Global Convergence Rates of Softmax Policy Gradient Methods

81 citations · 103 across the 21 of their papers we have counts for

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math.OC2022★ 2 cited

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games

Runyu Zhang, Jincheng Mei, Bo Dai +2

Softmax policy gradient is a popular algorithm for policy optimization in single-agent reinforcement learning, particularly since projection is not needed for each gradient update.…