,Adversarial attack and defense in reinforcement learning-from Al security view

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Reinforcement leaing is a core technology for mode artificial intelligence,and it has become a workhorse for Al applications ranging from Atrai Game to Connected and Automoted Vehicle System (CAV).Therefore,a reliable RL system is the foundation for the security critical applications in Al,which has attracted a conce that is more critical than ever.However,recent studies discover that the interesting attack mode adversarialattack also be effective when targeting neural network policies in the context of reinforcement leaing,which has inspired innovative researches in this direction.Hence,in this paper,we give the very first attempt to conduct a comprehensive survey on adversarial attacks in reinforcement leaing under Al security.Moreover,we give briefly introduction on the most representative defense technologies against existing adversarial attacks.
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