Reinforcement learning (RL) agents are increasingly being deployed in complex 3D environments. These environments often present challenging obstacles for RL techniques due to the increased dimensionality. Bandit4D, a cutting-edge new framework, aims to overcome these limitations by providing a efficient platform for implementing RL solutions in 3D