Sequential Triggers for Watermarking of Deep Reinforcement Learning Policies

3 Jun 2019 Vahid Behzadan William Hsu

This paper proposes a novel scheme for the watermarking of Deep Reinforcement Learning (DRL) policies. This scheme provides a mechanism for the integration of a unique identifier within the policy in the form of its response to a designated sequence of state transitions, while incurring minimal impact on the nominal performance of the policy... (read more)

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