NVIDIA has announced a preview release of Isaac Gym – NVIDIA’s physics simulation environment for reinforcement learning research. RL-based training is now more accessible as tasks that once required thousands of CPU cores can now instead be trained using a single GPU.
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In order to let their superpressure balloons navigate through the stratosphere Loon and Google AI successfully use reinforcement learning (RL). This is a type of machine learning technique that enables an agent to learn by trial and error in an interactive environment using feedback from its own actions and experiences. This contrasts against the conventional approach of the automated system following fixed procedures artisanally crafted by engineers.