research
∙
12/20/2022
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task
From smoothly pursuing moving objects to rapidly shifting gazes during v...
share
research
∙
02/25/2021
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience
In recent years, trends towards studying simulated games have gained mom...
research
∙
05/29/2019
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning
Disentangled representations have recently been shown to improve data ef...
research
∙
05/22/2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Data efficiency and robustness to task-irrelevant perturbations are long...
research
∙
01/22/2019
MONet: Unsupervised Scene Decomposition and Representation
The ability to decompose scenes in terms of abstract building blocks is ...
research
∙
01/21/2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
We present a simple neural rendering architecture that helps variational...
research
∙
06/05/2017