7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Self-Imitation Learning for Robot Tasks with Sparse and Delayed Rewards
Zhixin Chen, Mengxiang Lin
The application of reinforcement learning (RL) in robotic control is still limited in the environments with sparse and delayed rewards. In this paper, we propose a practical self-i…
cs.RO2020★ 3 cited
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping
Zhixin Chen, Mengxiang Lin, Zhixin Jia +1
Deep reinforcement learning (DRL) has been proven to be a powerful paradigm for learning complex control policy autonomously. Numerous recent applications of DRL in robotic graspin…
cs.RO2020★ 7 cited
Vision-based Robot Manipulation Learning via Human Demonstrations
Zhixin Jia, Mengxiang Lin, Zhixin Chen +1
Vision-based learning methods provide promise for robots to learn complex manipulation tasks. However, how to generalize the learned manipulation skills to real-world interactions…