Reinforcement Learning Algorithm Helps Train Thousands of Robots Simultaneously

In recent years, model-free deep reinforcement learning algorithms have produced groundbreaking results. However, the current algorithms require a large number of training samples as well as an enormous amount of computing power to achieve the desired results. To help make training more accessible, a team of researchers from NVIDIA developed a GPU-accelerated reinforcement learning simulator

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