Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These environments often present unique obstacles for website RL algorithms due to the increased degrees of freedom. Bandit4D, a powerful new framework, aims to mitigate these limitations by providing a comprehensive platform for implementing RL agents i