Training and/or utilizing machine learning models for use in natural language-based robot control
Techniques are disclosed that enable training of a target condition policy based on multiple data sets, where each data set describes a robotic task in a different manner. For example, the plurality of data sets can include: a target image data set in which a task is captured in a target image; a na...
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Format: | Patent |
Sprache: | chi ; eng |
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