IEEE

Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach

Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...
Hosted on MSN

Traveling Usually Equals Some Type of Stomach Problem

If you’ve ever wondered why your stomach seems to get upset only when you travel, you’re not alone. Comedian’s arrest over social media posts sparks warning for Americans Hours After Giving Birth, ...
IEEE

A Method of the Traveling Salesman Problem Based On Q-Learning Reinforcement Learning and Local Dynamic Programming

Abstract: 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 ...