Reinforcement learning (RL) models are increasingly being deployed in complex spatial environments. These environments often present challenging problems for RL techniques due to the increased complexity. Bandit4D, a cutting-edge new framework, aims to mitigate these limitations by providing a flexible platform for training RL systems in 3D scenari