Reinforcement learning (RL) agents are increasingly being deployed in complex three-dimensional environments. These environments often present novel difficulties for RL techniques due to the increased degrees of freedom. Bandit4D, a robust new framework, aims to address these limitations by providing a comprehensive platform for developing RL syste