here is link with a definition for one shot learning. https://paperswithcode.com/task/one-shot-learning
one shot imitation learning. Our approach is to combine meta-*learning* with *imitation learning* to enable *one*-*shot imitation learning*. The core idea is that provided *a single* demonstration of *a* particular task, i.e. maneuvering *a* certain object, the robot can quickly identify what the task is and successfully solve it under different circumstances. i copied and pasted the definition from the internet. On Wed, Oct 30, 2019 at 11:57 AM <[email protected]> wrote: > please explain? > *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T8fe5317c3cebf70b-M20982232dbbd1a96d3535b44> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T8fe5317c3cebf70b-M9d595bd65221c0c6a2c38cf5 Delivery options: https://agi.topicbox.com/groups/agi/subscription
