Reinforcement learning (RL) models are increasingly being deployed in complex 3D environments. These scenarios often present novel difficulties for RL techniques due to the increased dimensionality. Bandit4D, a powerful new framework, aims to address these limitations by providing a efficient platform for training RL check here systems in 3D scenar