Reinforcement learning (RL) systems are increasingly being deployed in complex three-dimensional environments. These scenarios often present challenging obstacles for RL methods due to the increased degrees of freedom. Bandit4D, a robust new framework, aims to mitigate these hurdles by providing a efficient platform for developing RL solutions in 3