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20182021
most citedGenerating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture

3 citations · 4 across the 5 of their papers we have counts for

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Showing 2021Show all

1 paper · 1 filter

cs.LG2021★ 1 cited

Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning

Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez

Optimal setting of several hyper-parameters in machine learning algorithms is key to make the most of available data. To this aim, several methods such as evolutionary strategies,…