Reinforcement learning (RL) systems are increasingly being deployed in complex spatial environments. These environments often present challenging obstacles for RL algorithms due to the increased dimensionality. Bandit4D, a powerful new framework, aims to overcome these limitations by providing a comprehensive platform for developing RL solutions in