Reinforcement learning (RL) systems are increasingly being deployed in complex three-dimensional environments. These spaces often present unique difficulties for RL methods due to the increased dimensionality. Bandit4D, a cutting-edge new framework, aims to overcome these challenges by providing a flexible platform for developing RL systems in 3D w