11 citations · 22 across the 2 of their papers we have counts for
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cs.LG2019
Regularizing Trajectory Optimization with Denoising Autoencoders
Rinu Boney, Norman Di Palo, Mathias Berglund +4
Trajectory optimization using a learned model of the environment is one of the core elements of model-based reinforcement learning. This procedure often suffers from exploiting ina…
cs.LG2015★ 11 cited
Lateral Connections in Denoising Autoencoders Support Supervised Learning
Antti Rasmus, Harri Valpola, Tapani Raiko
We show how a deep denoising autoencoder with lateral connections can be used as an auxiliary unsupervised learning task to support supervised learning. The proposed model is train…