Learning Key Steps to Attack Deep Reinforcement Learning Agents

ICLR 2020 Anonymous

Deep reinforcement learning agents are known to be vulnerable to adversarial attacks. In particular, recent studies have shown that attacking a few key steps is effective for decreasing the agent's cumulative reward... (read more)

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