43 citations · 130 across the 4 of their papers we have counts for
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math.OC2016★ 23 cited
Using Deep Q-Learning to Control Optimization Hyperparameters
Samantha Hansen
We present a novel definition of the reinforcement learning state, actions and reward function that allows a deep Q-network (DQN) to learn to control an optimization hyperparameter…
math.OC2014★ 43 cited
A Stochastic Quasi-Newton Method for Large-Scale Optimization
R. H. Byrd, S. L. Hansen, J. Nocedal +1
The question of how to incorporate curvature information in stochastic approximation methods is challenging. The direct application of classical quasi- Newton updating techniques f…