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cs.LG2023★ 1 cited
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper, Wentao Guo, Khiem Pham +4
Recent research on online Gradient Balancing (GraB) has revealed that there exist permutation-based example orderings for SGD that are guaranteed to outperform random reshuffling (…
cs.LG2022
Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space
Charlie Ruan
Approximating Martingale Process (AMP) is proven to be effective for variance reduction in reinforcement learning (RL) in specific cases such as Multiclass Queueing Networks. Howev…