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09/28/2022
Improving alignment of dialogue agents via targeted human judgements
We present Sparrow, an information-seeking dialogue agent trained to be ...
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02/02/2022
Unified Scaling Laws for Routed Language Models
The performance of a language model has been shown to be effectively mod...
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06/13/2020
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-su...
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03/04/2019
The StreetLearn Environment and Dataset
Navigation is a rich and well-grounded problem domain that drives progre...
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07/03/2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Recent progress in artificial intelligence through reinforcement learnin...
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02/05/2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
In this work we aim to solve a large collection of tasks using a single ...
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03/01/2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
When training neural networks, the use of Synthetic Gradients (SG) allow...
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11/11/2016
Learning to Navigate in Complex Environments
Learning to navigate in complex environments with dynamic elements is an...
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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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09/12/2016
WaveNet: A Generative Model for Raw Audio
This paper introduces WaveNet, a deep neural network for generating raw ...
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06/13/2016
Matching Networks for One Shot Learning
Learning from a few examples remains a key challenge in machine learning...
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03/28/2016
