Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These scenarios often present unique difficulties for RL techniques due to the increased dimensionality. Bandit4D, a powerful new framework, aims to address these challenges by providing a flexible platform for developing RL agents in 3D worlds. Its modu