Boosting Transferable Adversarial Attacks against Deep Reinforcement Learning

Zexin Li, Ruili Yao, Yiming Zeng +1

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-…