research
∙
07/20/2023
PASTA: Pretrained Action-State Transformer Agents
Self-supervised learning has brought about a revolutionary paradigm shif...
share
research
∙
06/08/2023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces
Quality Diversity (QD) algorithms have been proposed to search for a lar...
research
∙
03/27/2023
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
In the context of neuroevolution, Quality-Diversity algorithms have prov...
research
∙
02/07/2022
Multi-Objective Quality Diversity Optimization
In this work, we consider the problem of Quality-Diversity (QD) optimiza...
research
∙
12/28/2021
Unsupervised Domain Adaptation for Constraining Star Formation Histories
The prevalent paradigm of machine learning today is to use past observat...
research
∙
07/07/2021
ADAPT : Awesome Domain Adaptation Python Toolbox
ADAPT is an open-source python library providing the implementation of s...
research
∙
06/15/2020
Adversarial Weighting for Domain Adaptation in Regression
We present a novel instance based approach to handle regression tasks in...
research
∙
02/10/2020
