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Rapid Task-Solving in Novel Environments
When thrust into an unfamiliar environment and charged with solving a se...
06/05/2020 ∙ by Sam Ritter, et al. ∙
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Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette
Brette contends that the neural coding metaphor is an invalid basis for ...
04/18/2019 ∙ by Adam Santoro, et al. ∙
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Causal Reasoning from Meta-reinforcement Learning
Discovering and exploiting the causal structure in the environment is a ...
01/23/2019 ∙ by Ishita Dasgupta, et al. ∙
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An investigation of model-free planning
The field of reinforcement learning (RL) is facing increasingly challeng...
01/11/2019 ∙ by Arthur Guez, et al. ∙
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Relational Deep Reinforcement Learning
We introduce an approach for deep reinforcement learning (RL) that impro...
06/05/2018 ∙ by Vinicius Zambaldi, et al. ∙
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Relational recurrent neural networks
Memory-based neural networks model temporal data by leveraging an abilit...
06/05/2018 ∙ by Adam Santoro, et al. ∙
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Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
06/04/2018 ∙ by Peter W. Battaglia, et al. ∙
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Hyperbolic Attention Networks
We introduce hyperbolic attention networks to endow neural networks with...
05/24/2018 ∙ by Caglar Gulcehre, et al. ∙
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A simple neural network module for relational reasoning
Relational reasoning is a central component of generally intelligent beh...
06/05/2017 ∙ by Adam Santoro, et al. ∙
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