Reinforcement learning (RL) models are increasingly being deployed in complex three-dimensional environments. These environments often present novel obstacles for RL methods due to the increased complexity. Bandit4D, a powerful new framework, aims to address these hurdles by providing a comprehensive platform for developing RL systems in 3D simulat