CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over Baselines

A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being (a) hard to scale, (b) collected in sterile, non-realistic surroundings (such as a robotics lab), and (c) too homogeneous (such as toy items with preset backgrounds and lighting). Vision data sets, […]

The post CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over …

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