Ngoc Hoang Luong

Understanding the Role of Population Experiences in Proximal Distilled Evolutionary Reinforcement Learning

2023

Evolutionary Reinforcement Learning (ERL) combines the sample-efficiency property of Reinforcement Learning and exploration capabilities from the population-based search of Evolutionary Computation. These methods have shown promising performance on many continuous control tasks. However, one could …

Gradient-Free Sparse Adversarial Attack on Object Detection Models

2025 · Proceedings of the Genetic and Evolutionary Computation Conference

The rapid increase of object detection's applications leads to a growing need for these models to be robust to adversarial examples. However, it has been shown that deep neural networks (DNNs) are vulnerable to adversarial …