Reinforcement learning (RL) models are increasingly being deployed in complex spatial environments. These environments often present unique obstacles for RL methods due to the increased complexity. Bandit4D, a cutting-edge new framework, aims to mitigate these limitations by providing a efficient platform for implementing RL solutions in 3D simulat