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 systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.