Bandits in 3D

Reinforcement learning (RL) systems are increasingly being deployed in complex 3D environments. These scenarios often present unique obstacles for RL techniques due to the increased bandit4d degrees of freedom. Bandit4D, a robust new framework, aims to overcome these hurdles by providing a comprehensive platform for developing RL systems in 3D simu

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