2020
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
NeurIPS 2020poster
We analyze the extent to which existing methods rely on accurate training data for a specific class of reinforcement learning (RL) algorithms, known as Safe and Seldonian RL. We introduce a new measure of security to quantify the susceptibility to perturbations in training data by creating an attack…