Reinforcement learning (RL) agents are increasingly being deployed in complex 3D environments. These environments often present novel obstacles for RL methods due to the increased complexity. Bandit4D, a powerful new framework, aims to overcome these challenges by providing a efficient platform for implementing RL solutions in 3D scenarios. Its sca