Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These spaces often present unique problems for RL techniques due to the increased dimensionality. Bandit4D, a cutting-edge new framework, aims to mitigate these limitations by providing a comprehensive platform for training RL agents in 3D simulations. I