2 papers
cs.LG2026
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…
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…