HIGHLIGHTS
- who: Romeo Giuliano and Eros Innocenti from the Department of Engineering Science, Guglielmo Marconi University, Via Plinio, Rome, Italy have published the Article: Machine Learning Techniques for Non-Terrestrial Networks, in the Journal: Electronics 2023, 12, 652. of /2023/
- what: At each time step, the agent receives observations from the environment and must choose an action which should bring it closer to the main goal. This work showed that applying ML leads to better offloading strategies and therefore better overall performance. The aim is to approximate the ray tracing performance while reducing the computation cost . . .
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