Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy

Xinghua Qu, Zhu Sun, Yew-Soon Ong +2

Recent studies have revealed that neural network-based policies can be easily fooled by adversarial examples. However, while most prior works analyze the effects of perturbing ever…