Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space

Sanyam Vyas, Chris Hicks, Vasilios Mavroudis

This paper investigates the threat of backdoors in Deep Reinforcement Learning (DRL) agent policies and proposes a novel method for their detection at runtime. Our study focuses on…