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 research areas such as computer vision, there is a lack of good ones for telecommunication purposes. This paper proposes a Beam-Selection MiniGrid, based on Minimalist Gridworld environment.
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