A Gleave, M Dennis, N Kant, C Wild, S Levine… - In Proc. ICLR-20, 2020 - par.nsf.gov
Deep reinforcement learning (RL) policies are known to be vulnerable to adversarial
perturbations to their observations, similar to adversarial examples for classifiers. However …