English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

MPS-Authors
/persons/resource/persons217894

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

External Resource

Link
(Any fulltext)

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., Lillicrap, T., Ghahramani, Z., Turner, R. E., & Levine, S. (2017). Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic. In ICLR 2017 - Conference Track. Amherst, MA: OpenReview.net. Retrieved from https://openreview.net/forum?id=SJ3rcZcxl.


Cite as: https://hdl.handle.net/21.11116/0000-0001-1ED0-3
Abstract
There is no abstract available