Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These environments often present novel obstacles for RL methods due to the increased dimensionality. Bandit4D, a powerful new framework, aims to mitigate these hurdles by providing a flexible platform for developing RL systems in 3D worlds. Its scalable