Reward-Preserving Attacks For Robust Reinforcement Learning

Lucas Schott, Elies Gherbi, Hatem Hajri +1

Adversarial training in reinforcement learning (RL) is challenging because perturbations cascade through trajectories and compound over time, making fixed-strength attacks either o…