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12/07/2021
Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning
A common vision from science fiction is that robots will one day inhabit...
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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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05/19/2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
Recent work has described neural-network-based agents that are trained w...
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02/05/2019
A Generalized Framework for Population Based Training
Population Based Training (PBT) is a recent approach that jointly optimi...
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05/04/2018
Dynamic Control Flow in Large-Scale Machine Learning
Many recent machine learning models rely on fine-grained dynamic control...
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03/28/2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Animals execute goal-directed behaviours despite the limited range and s...
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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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12/28/2016
The Predictron: End-To-End Learning and Planning
One of the key challenges of artificial intelligence is to learn models ...
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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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02/04/2016