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Found 5 papers, 1 papers with code
Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning
Without modifying the nanofabrication process, adding significant computation in design, or requiring proprietary process specifications, we believe our model opens the door to new levels of reliability and performance in next-generation photonic circuits.
PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes
We show that our proposed approach is substantially better than both PCA and randomly initialized AE in the majority of low-data regime cases we consider, or at least is comparable to the best of either of the other two methods.
Optimizing Energy Production Using Policy Search and Predictive State Representations
We consider the challenging practical problem of optimizing the power production of a complex of hydroelectric power plants, which involves control over three continuous action variables, uncertainty in the amount of water inflows and a variety of constraints that need to be satisfied.
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
This paper addresses the problem of automatic generation of features for value function approximation in reinforcement learning.
