2 papers
cs.RO2026
Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning
Patrick Yin, Tyler Westenbroek, Zhengyu Zhang +9
Reinforcement learning in massively parallel physics simulations has driven major progress in sim-to-real robot learning. However, current approaches remain brittle and task-specif…
cs.CV2025
Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
Xinlei Liu, Tao Hu, Peng Yi +3
Efficient adversarial attack methods are critical for assessing the robustness of computer vision models. In this paper, we reconstruct the optimization objective for generating ad…