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Found 3 papers, 1 papers with code
Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection
We name this model RELEVAGAN, i. e. ["relive a GAN" or deep REinforcement Learning-based Evasion Generative Adversarial Network] because, with the help of DRL, it minimises the GAN's job by letting its generator explore the evasion samples within the semantic limits.
Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach
In these networks, reconfigurable wireless network slicing is considered as one of the key elements for 5G and 6G networks.
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAVP) is presented, where an Autonomous Vehicle (AV) is deployed in the city, which can pick up, drop off users at their required spots, and then drive to the car park out of city center autonomously.
