When Backdoors Meet Partial Observability: Attacking Real-World Reinforcement Learning

Tairan Huang, Qingqing Ye, Yulin Jin +4

Backdoor attacks can cause reinforcement learning (RL) policies to behave normally under clean inputs while executing malicious behaviors when triggers are present. Existing RL bac…