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