RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning

Adithya Mohan, Daniel Kriegl, Torsten Schön

Deep Reinforcement Learning (DRL) has achieved significant success in robotics and autonomous systems, yet remains vulnerable to adversarial perturbations that can severely degrade…