Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Scaling Adversarial Training via Data Selection
Youran Ye, Dejin Wang, Ajinkya Bhandare
Projected Gradient Descent (PGD) is a strong and widely used first-order adversarial attack, yet its computational cost scales poorly, as all training samples undergo identical ite…
cs.LG2025
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
Zhenshuo Zhang, Minxuan Duan, Youran Ye +1
We study the problem of efficiently estimating policies that simultaneously optimize multiple objectives in reinforcement learning (RL). Given objectives (or tasks), we seek th…