Multi-objective sparse reconstruction methods have shown strong potential in sparse reconstruction. However, most methods are computationally expensive due to the requirement of excessive functional ...

We propose a multi-objective Reinforcement Learning approach for RSA in optical networks, integrating awareness of signal quality, delay, and load-balancing. It outperforms traditional algorithms with ...