2 papers
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.LG2025
Explainable Reinforcement Learning via Temporal Policy Decomposition
Franco Ruggeri, Alessio Russo, Rafia Inam +1
We investigate the explainability of Reinforcement Learning (RL) policies from a temporal perspective, focusing on the sequence of future outcomes associated with individual action…