Reinforcement learning (RL) models are increasingly being deployed in complex 3D environments. These spaces often present challenging difficulties for RL algorithms due to the increased complexity. Bandit4D, a cutting-edge new framework, aims to mitigate these limitations by providing a efficient platform for training RL solutions in 3D simulations