Published: 01 Jan 2022, Last Modified: 11 Nov 2023ICML 2022Readers: Everyone
Abstract:Despite considerable advances in deep reinforcement learning, it has been shown to be highly vulnerable to adversarial perturbations to state observations. Recent efforts that have attempted to imp...