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cs.LG2023
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman, Bibek Poudel, Michael Villarreal +2
A prevalent limitation of optimizing over a single objective is that it can be misguided, becoming trapped in local optimum. This can be rectified by Quality-Diversity (QD) algorit…
cs.LG2022
AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning
Michael Villarreal, Bibek Poudel, Ryan Wickman +2
With the growing use of machine learning algorithms and ubiquitous sensors, many `perception-to-control' systems are being developed and deployed. To ensure their trustworthiness,…
cs.LG2021
A Generic Graph Sparsification Framework using Deep Reinforcement Learning
Ryan Wickman, Xiaofei Zhang, Weizi Li
The interconnectedness and interdependence of modern graphs are growing ever more complex, causing enormous resources for processing, storage, communication, and decision-making of…