Reinforcement learning (RL) agents are increasingly being deployed in complex three-dimensional environments. These spaces often present unique obstacles for RL techniques due to the increased dimensionality. Bandit4D, a robust new framework, aims to overcome these hurdles by providing a efficient platform for training RL systems in 3D worlds. Its … Read More