The next generation of wireless networks, also known as Beyond 5G and 6G, will need a very high level of automation. This is both because of the increased complexity, and also thanks to the availability of more data, advanced Machine Learning (ML) algorithms, and strong processing
capabilities. When it comes to the automation of networks, intelligent control algorithms that allow turning the knobs and optimizing system parameters become essential. Reinforcement learning and deep reinforcement learning algorithms have shown great success in other areas in AI and ML. This talk, provided an overview of the state-of-art reinforcement and deep reinforcement learning algorithms and their applications to wireless networks, in addition to their challenges and the open issues in terms of their applicability to various functions of future wireless networks.
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The Rivian R2 Is Finally Here. The CEO Just Shared When To Expect More Models
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