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MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
More significantly, as the primary goal, this is the first work that has established the feasibility of deploying DRL to provide optimized distributed resource allocation for next-generation of GPU-embedded radios.
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning
It will be shown that the utility of the defender is variant in different scenarios, based on the defender that is being used.
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