A data-driven approach for learning to control computers. | 0 | 0.34 | 2022 |
Tell me why! Explanations support learning relational and causal structure. | 0 | 0.34 | 2022 |
Rapid Task-Solving in Novel Environments | 0 | 0.34 | 2021 |
Rapid Task-Solving in Novel Environments. | 0 | 0.34 | 2021 |
Cognitive consequences of structured education in a connectionist model of analogical reasoning. | 0 | 0.34 | 2020 |
Environmental drivers of systematicity and generalization in a situated agent | 0 | 0.34 | 2020 |
Automated curriculum generation through setter-solver interactions. | 0 | 0.34 | 2020 |
Environmental drivers of systematicity and generalization in a situated agent. | 0 | 0.34 | 2020 |
Automated curriculum generation through setter-solver interactions. | 0 | 0.34 | 2020 |
Hyperbolic Attention Networks. | 0 | 0.34 | 2019 |
Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette. | 0 | 0.34 | 2019 |
Learning to Make Analogies by Contrasting Abstract Relational Structure. | 0 | 0.34 | 2019 |
Deep reinforcement learning with relational inductive biases. | 0 | 0.34 | 2019 |
Hyperbolic Attention Networks. | 0 | 0.34 | 2019 |
An investigation of model-free planning. | 1 | 0.35 | 2019 |
Learning to Make Analogies by Contrasting Abstract Relational Structure. | 0 | 0.34 | 2019 |
Deep reinforcement learning with relational inductive biases. | 5 | 0.41 | 2019 |
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures | 0 | 0.34 | 2018 |
Measuring abstract reasoning in neural networks. | 10 | 0.55 | 2018 |
Unsupervised Predictive Memory in a Goal-Directed Agent. | 13 | 0.87 | 2018 |
Relational inductive biases, deep learning, and graph networks. | 74 | 1.41 | 2018 |
Relational recurrent neural networks. | 9 | 0.46 | 2018 |
Relational Deep Reinforcement Learning. | 18 | 0.74 | 2018 |
Discovering objects and their relations from entangled scene representations. | 23 | 1.00 | 2017 |
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017. | 2 | 0.39 | 2017 |
Generative Temporal Models with Memory. | 10 | 0.66 | 2017 |
Discovering objects and their relations from entangled scene representations. | 0 | 0.34 | 2017 |
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. | 19 | 0.98 | 2017 |
A simple neural network module for relational reasoning. | 129 | 3.03 | 2017 |
One-shot Learning with Memory-Augmented Neural Networks. | 61 | 1.88 | 2016 |
Meta-Learning with Memory-Augmented Neural Networks. | 64 | 1.90 | 2016 |