Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information

Yiren Zhao, Ilia Shumailov, Han Cui +3

Recent research on reinforcement learning (RL) has suggested that trained agents are vulnerable to maliciously crafted adversarial samples. In this work, we show how such samples c…