Study of agent performance on ground terrain mission using reward shaping

Abstract

The aim of this work is to study the reward functions of reinforcement learning problems through reward shaping. The results were obtained by introducing specific maps corresponding to military mission scenarios. For each situation, the most appropriate reward shaping technique was used and its performance is analysed. Beyond the victory rate of a mission, the actions that had the greatest impact on the success of the mission are studied.