260 citations · 270 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.RO2019★ 2 cited
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu, Lujia Wang, Ming Liu +1
Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning. Furthermore, if with extern…
cs.RO2019★ 4 cited
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu, Lujia Wang, Ming Liu +1
Humans are capable of learning a new behavior by observing others perform the skill. Robots can also implement this by imitation learning. Furthermore, if with external guidance, h…
cs.RO2019★ 260 cited
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
This paper was motivated by the problem of how to make robots fuse and transfer their experience so that they can effectively use prior knowledge and quickly adapt to new environme…