FIL pools imitation-learning policies from robots with different sensors, pseudo-labels cloud data with the median of robot outputs, and uses the resulting guide model for transfer learning.
Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,
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Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
FIL pools imitation-learning policies from robots with different sensors, pseudo-labels cloud data with the median of robot outputs, and uses the resulting guide model for transfer learning.