Abstract: In this paper a numerical algorithm to optimize actuator locations in a linear impulsive control system is developed so that the terminal output could be varied efficiently under various ...

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 ...