Reinforcement learning (RL) models are increasingly being deployed in complex 3D environments. These scenarios often present novel obstacles for RL algorithms due to the increased dimensionality. Bandit4D, a powerful new framework, aims to address these hurdles by providing a comprehensive platform for implementing RL systems in 3D scenarios. Its s