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20182026
most citedJointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning

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stat.ML2018

Adapting Auxiliary Losses Using Gradient Similarity

Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar +3

One approach to deal with the statistical inefficiency of neural networks is to rely on auxiliary losses that help to build useful representations. However, it is not always trivia…