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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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10/15/2021
Collaborating with Humans without Human Data
Collaborating with humans requires rapidly adapting to their individual ...
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03/08/2021
Deep reinforcement learning models the emergent dynamics of human cooperation
Collective action demands that individuals efficiently coordinate how mu...
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02/24/2021
Synthetic Returns for Long-Term Credit Assignment
Since the earliest days of reinforcement learning, the workhorse method ...
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12/15/2020
Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures
Neural networks have achieved success in a wide array of perceptual task...
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06/05/2020
Rapid Task-Solving in Novel Environments
When thrust into an unfamiliar environment and charged with solving a se...
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01/22/2019
MONet: Unsupervised Scene Decomposition and Representation
The ability to decompose scenes in terms of abstract building blocks is ...
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08/06/2018
Learning to Share and Hide Intentions using Information Regularization
Learning to cooperate with friends and compete with foes is a key compon...
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06/04/2018
Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
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04/03/2018
Probing Physics Knowledge Using Tools from Developmental Psychology
In order to build agents with a rich understanding of their environment,...
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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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11/17/2016
Learning to reinforcement learn
In recent years deep reinforcement learning (RL) systems have attained s...
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11/11/2016