Reinforcement learning (RL) agents are increasingly being deployed in complex 3D environments. These environments often present challenging obstacles for RL algorithms due to the increased complexity. Bandit4D, a powerful new framework, aims to overcome these hurdles by providing a comprehensive platform for implementing RL agents in 3D scenarios.