Reinforcement learning (RL) models are increasingly being deployed in complex three-dimensional environments. These spaces often present novel obstacles for RL methods due to the increased dimensionality. Bandit4D, a check here powerful new framework, aims to address these hurdles by providing a comprehensive platform for implementing RL solutions