Reinforcement learning selects hyperparameters sequentially by learning from actual future validation loss reductions and outperforms SMBO methods on 50 datasets.
In: Advances in Neural Information Processing Sys- tems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montr´ eal, Canada
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Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
Reinforcement learning selects hyperparameters sequentially by learning from actual future validation loss reductions and outperforms SMBO methods on 50 datasets.