Beam-Selection MiniGrid Environment for 5G and 6G Networks Applications

Applications of Reinforcement Learning (RL) are increasingly relevant in the context of future networks. However, although there is a great availability of environments for other re- search areas such as computer vision, there is a lack of good ones for telecommunication purposes. This paper proposes a beam- selection mini-grid type of environment and gives preliminary results using a Minimalist GridWorld version.