most citedCleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

86 citations · 86 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 86 cited

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye +1

CleanRL is an open-source library that provides high-quality single-file implementations of Deep Reinforcement Learning algorithms. It provides a simpler yet scalable developing ex…