Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning.

arXiv:2610.06083v3 Announce Type: replace-cross Abstract: Most adversarial attacks on deep reinforcement learning (DRL) assume white-box access to the victim policy, which rarely holds in practice. This paper studies transfer-based black-box attacks on DRL: th