Tairan Huang

New SEBA framework enables sample-efficient black-box attacks on visual RL

Researchers have developed SEBA, a new framework designed to efficiently launch black-box adversarial attacks against visual reinforcement learning agents. This method integrates a shadow Q model to estimate rewards und…