research
∙
06/20/2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
The accurate modeling of dynamics in interactive environments is critica...
share
research
∙
11/23/2022
Choreographer: Learning and Adapting Skills in Imagination
Unsupervised skill learning aims to learn a rich repertoire of behaviors...
research
∙
09/24/2022
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels
Controlling artificial agents from visual sensory data is an arduous tas...
research
∙
11/23/2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Transfer learning from large-scale pre-trained models has become essenti...
research
∙
04/01/2021
Touch-based Curiosity for Sparse-Reward Tasks
Robots in many real-world settings have access to force/torque sensors i...
research
∙
03/23/2020
Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
We infer and generate three-dimensional (3D) scene information from a si...
research
∙
06/24/2019
Adversarial Computation of Optimal Transport Maps
Computing optimal transport maps between high-dimensional and continuous...
research
∙
02/27/2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Learning inter-domain mappings from unpaired data can improve performanc...
research
∙
02/04/2018
Hierarchical Adversarially Learned Inference
We propose a novel hierarchical generative model with a simple Markovian...
research
∙
01/20/2018
A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
research
∙
01/12/2018
MINE: Mutual Information Neural Estimation
We argue that the estimation of the mutual information between high dime...
research
∙
05/31/2017
Adversarial Generation of Natural Language
Generative Adversarial Networks (GANs) have gathered a lot of attention ...
research
∙
02/26/2015
