papers | Deep Learning JP - Part 80

Rainbow: Combining Improvements in Deep Reinforcement Learning

Controllable Invariance through Adversarial Feature Learning

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

Learning to Act by Predicting the Future

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Deep Recurrent Generative Decoder for Abstractive Text Summarization

Style Transfer from Non-Parallel Text by Cross-Alignment

Energy-based generative adversarial networks

Opening the Black Box of Deep Neural Networks via Information

Improved Training of Wasserstein GANs

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