Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks

Vahid Behzadan, Arslan Munir

Deep learning classifiers are known to be inherently vulnerable to manipulation by intentionally perturbed inputs, named adversarial examples. In this work, we establish that reinf…