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11/21/2022
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback
An important goal in artificial intelligence is to create agents that ca...
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06/07/2022
Intra-agent speech permits zero-shot task acquisition
Human language learners are exposed to a trickle of informative, context...
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05/26/2022
Evaluating Multimodal Interactive Agents
Creating agents that can interact naturally with humans is a common goal...
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02/16/2022
A data-driven approach for learning to control computers
It would be useful for machines to use computers as humans do so that th...
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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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12/07/2021
Tell me why! – Explanations support learning of relational and causal structure
Explanations play a considerable role in human learning, especially in a...
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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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02/05/2021
Symbolic Behaviour in Artificial Intelligence
The ability to use symbols is the pinnacle of human intelligence, but ha...
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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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12/10/2020
Imitating Interactive Intelligence
A common vision from science fiction is that robots will one day inhabit...
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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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10/01/2019
Emergent Systematic Generalization in a Situated Agent
The question of whether deep neural networks are good at generalising be...
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09/27/2019
Automated curricula through setter-solver interactions
Reinforcement learning algorithms use correlations between policies and ...
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04/18/2019
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 ...
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01/31/2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
Analogical reasoning has been a principal focus of various waves of AI r...
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01/11/2019
An investigation of model-free planning
The field of reinforcement learning (RL) is facing increasingly challeng...
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08/01/2018
Learning Visual Question Answering by Bootstrapping Hard Attention
Attention mechanisms in biological perception are thought to select subs...
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07/12/2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
The backpropagation of error algorithm (BP) is often said to be impossib...
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07/11/2018
Measuring abstract reasoning in neural networks
Whether neural networks can learn abstract reasoning or whether they mer...
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06/05/2018
Relational Deep Reinforcement Learning
We introduce an approach for deep reinforcement learning (RL) that impro...
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06/05/2018
Relational recurrent neural networks
Memory-based neural networks model temporal data by leveraging an abilit...
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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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05/24/2018
Hyperbolic Attention Networks
We introduce hyperbolic attention networks to endow neural networks with...
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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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06/26/2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Deep neural networks (DNNs) have achieved unprecedented performance on a...
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06/05/2017
A simple neural network module for relational reasoning
Relational reasoning is a central component of generally intelligent beh...
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02/15/2017