Reinforcement learning (RL) models are increasingly being deployed in complex three-dimensional environments. These spaces often present novel obstacles for RL techniques due to the increased degrees of freedom. Bandit4D, a cutting-edge new framework, aims to overcome these challenges by providing a flexible platform for developing RL systems in 3D