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