This study explores optimizing the Traveling Salesman Problem (TSP) using Q-Learning reinforcement learning. The proposed method builds a Q-table to learn the optimal path and employs dynamic ...

Our method combines the principles of ISTA and IRLS to create an element-wise iterative re-weighting algorithm. We have applied this algorithm to the sparse spike deconvolution of real seismic data ...