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04/13/2021
Podracer architectures for scalable Reinforcement Learning
Supporting state-of-the-art AI research requires balancing rapid prototy...
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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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11/18/2020
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Credit assignment in reinforcement learning is the problem of measuring ...
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11/08/2020
On the role of planning in model-based deep reinforcement learning
Model-based planning is often thought to be necessary for deep, careful ...
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04/08/2020
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers
Log-based predictive maintenance of computing centers is a main concern ...
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03/30/2020
Neural Communication Systems with Bandwidth-limited Channel
Reliably transmitting messages despite information loss due to a noisy c...
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02/19/2020
Value-driven Hindsight Modelling
Value estimation is a critical component of the reinforcement learning (...
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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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02/01/2019
TF-Replicator: Distributed Machine Learning for Researchers
We describe TF-Replicator, a framework for distributed machine learning ...
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10/01/2018
Taming VAEs
In spite of remarkable progress in deep latent variable generative model...
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07/05/2018
Consistent Generative Query Networks
Stochastic video prediction is usually framed as an extrapolation proble...
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07/04/2018
Encoding Spatial Relations from Natural Language
Natural language processing has made significant inroads into learning t...
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07/04/2018
Learning models for visual 3D localization with implicit mapping
We propose a formulation of visual localization that does not require co...
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07/04/2018
Neural Processes
A neural network (NN) is a parameterised function that can be tuned via ...
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04/25/2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
In model-based reinforcement learning, generative and temporal models of...
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02/08/2018
Learning and Querying Fast Generative Models for Reinforcement Learning
A key challenge in model-based reinforcement learning (RL) is to synthes...
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05/19/2017
The Kinetics Human Action Video Dataset
We describe the DeepMind Kinetics human action video dataset. The datase...
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11/11/2016
