English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

MPS-Authors
/persons/resource/persons217894

Gu,  Shixiang
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Gu, S., Holly, E., Lillicrap, T., & Levine, S. (2017). Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates. In 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) (pp. 3389-3396). Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA.2017.7989385.


Cite as: https://hdl.handle.net/21.11116/0000-0000-F9E4-6
Abstract
There is no abstract available