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04/13/2021
Muesli: Combining Improvements in Policy Optimization
We propose a novel policy update that combines regularized policy optimi...
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02/07/2020
Causally Correct Partial Models for Reinforcement Learning
In reinforcement learning, we can learn a model of future observations a...
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08/26/2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in...
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05/30/2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients
The Wasserstein probability metric has received much attention from the ...
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10/27/2016
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Neural networks augmented with external memory have the ability to learn...
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10/03/2016
Video Pixel Networks
We propose a probabilistic video model, the Video Pixel Network (VPN), t...
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06/10/2016
Memory-Efficient Backpropagation Through Time
We propose a novel approach to reduce memory consumption of the backprop...
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04/29/2016
Towards Conceptual Compression
We introduce a simple recurrent variational auto-encoder architecture th...
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03/16/2016
One-Shot Generalization in Deep Generative Models
Humans have an impressive ability to reason about new concepts and exper...
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02/09/2016
Associative Long Short-Term Memory
We investigate a new method to augment recurrent neural networks with ex...
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07/06/2015
Grid Long Short-Term Memory
This paper introduces Grid Long Short-Term Memory, a network of LSTM cel...
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02/16/2015
DRAW: A Recurrent Neural Network For Image Generation
This paper introduces the Deep Recurrent Attentive Writer (DRAW) neural ...
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10/20/2014