Smart Maze solver Using Reinforcement Learning (RL) aims to develop an agent capable of solving a maze-environment by using its learning in an RL algorithm specifically, Q-learning Algorithm a typical ...

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...