2 citations · 2 across the 5 of their papers we have counts for
5 papers
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen, Xue Li, Sheng Guo +2
Reinforcement learning has shown a wide usage in robotics tasks, such as insertion and grasping. However, without a practical sim2real strategy, the policy trained in simulation co…
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning
Yiwen Chen, Sheng Guo, Zedong Zhang +3
Precision robotic manipulation tasks (insertion, screwing, precisely pick, precisely place) are required in many scenarios. Previous methods achieved good performance on such manip…
A Versatile Agent for Fast Learning from Human Instructors
Yiwen Chen, Zedong Zhang, Haofeng Liu +3
In recent years, a myriad of superlative works on intelligent robotics policies have been done, thanks to advances in machine learning. However, inefficiency and lack of transfer a…
Improving Learning from Demonstrations by Learning from Experience
Haofeng Liu, Yiwen Chen, Jiayi Tan +1
How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL). Poor demonstrations lead to nar…
Canoe : A System for Collaborative Learning for Neural Nets
Harshit Daga, Yiwen Chen, Aastha Agrawal +1
For highly distributed environments such as edge computing, collaborative learning approaches eschew the dependence on a global, shared model, in favor of models tailored for each…