Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These scenarios often present challenging difficulties for RL methods due to the increased complexity. Bandit4D, a powerful new framework, aims to mitigate these limitations by providing a efficient platform for training RL solutions in 3D worlds. Its ad