research
∙
11/05/2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Ad hoc teamwork problem describes situations where an agent has to coope...
share
research
∙
06/18/2021
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result
Supervised deep convolutional neural networks (DCNNs) are currently one ...
research
∙
04/08/2020
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning
Objective: Identifying bio-signals based-sleep stages requires time-cons...
research
∙
01/24/2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
There are several benefits from learning disentangled representations, i...
research
∙
05/18/2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
The problem of sparse rewards is one of the hardest challenges in contem...
research
∙
11/08/2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
We study a variant of the variational autoencoder model (VAE) with a Gau...
research
∙
04/27/2016