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cs.LG2025
Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation
Konrad Nowosadko, Franco Ruggeri, Ahmad Terra
Deep reinforcement learning (DRL) methods, though powerful, often lack transparency, which limits their adoption in critical domains. We apply Self-Explaining Neural Networks (SENN…
cs.LG2022★ 1 cited
Model Compression for Resource-Constrained Mobile Robots
Timotheos Souroulla, Alberto Hata, Ahmad Terra +2
The number of mobile robots with constrained computing resources that need to execute complex machine learning models has been increasing during the past decade. Commonly, these ro…