Reinforcement learning (RL) systems are increasingly being deployed in complex three-dimensional environments. These spaces often present novel problems for RL methods due to the increased degrees of freedom. Bandit4D, a cutting-edge new framework, aims to mitigate these challenges by providing a flexible platform for implementing RL systems in 3D