Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Jianlan Luo(University of California, Berkeley), Jonathan Scholz(Google DeepMind (United Kingdom)), Mel Vecerík(Google DeepMind (United Kingdom)), Chang Su(Google (United States)), Oleg Sushkov(Google DeepMind (United Kingdom)), Rugile Pevceviciute(Google DeepMind (United Kingdom)), Wenzhao Lian(Google (United States)), Ning Ye(Northeastern University), Stefan Schaal(Google (United States))
Cited by 88
Related Papers
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
|arXiv (Cornell University)|2017|510
Genome sequencing and comparative analysis of <i>Saccharomyces cerevisiae</i> strain YJM789
|Proceedings of the National Academy of Sciences|2007|255
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
|Unknown|2019|177
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands
|IEEE Robotics and Automation Letters|2020|110