Reinforcement learning (RL) models are increasingly being deployed in complex three-dimensional environments. These scenarios often present novel difficulties for RL methods due to the increased dimensionality. Bandit4D, a powerful new framework, aims to address these challenges by providing a comprehensive platform for implementing RL solutions in