When Backdoors Meet Partial Observability: Attacking Real-World Reinforcement Learning
arXiv:2601.14104v2 Announce Type: replace
Abstract: Backdoor attacks can cause reinforcement learning (RL) policies to behave normally under clean inputs while executing malicious behaviors when triggers are present. Existing RL backdoor attacks are p…