research
∙
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...
share
research
∙
02/24/2021
Synthetic Returns for Long-Term Credit Assignment
Since the earliest days of reinforcement learning, the workhorse method ...
research
∙
02/05/2021
Symbolic Behaviour in Artificial Intelligence
The ability to use symbols is the pinnacle of human intelligence, but ha...
research
∙
06/05/2020
Rapid Task-Solving in Novel Environments
When thrust into an unfamiliar environment and charged with solving a se...
research
∙
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 ...
research
∙
01/23/2019
Causal Reasoning from Meta-reinforcement Learning
Discovering and exploiting the causal structure in the environment is a ...
research
∙
01/11/2019
An investigation of model-free planning
The field of reinforcement learning (RL) is facing increasingly challeng...
research
∙
06/05/2018
Relational Deep Reinforcement Learning
We introduce an approach for deep reinforcement learning (RL) that impro...
research
∙
06/05/2018
Relational recurrent neural networks
Memory-based neural networks model temporal data by leveraging an abilit...
research
∙
06/04/2018
Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, makin...
research
∙
05/24/2018
Hyperbolic Attention Networks
We introduce hyperbolic attention networks to endow neural networks with...
research
∙
06/05/2017
