English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Local-utopia Policy Selection for Multi-objective Reinforcement Learning

MPS-Authors
/persons/resource/persons84135

Peters,  Jan
External Organizations;
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

Parisi, S., Blank, A., Viernickel, T., & Peters, J. (2016). Local-utopia Policy Selection for Multi-objective Reinforcement Learning. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016) (pp. 32-38). Piscataway, NJ: IEEE. doi:10.1109/SSCI.2016.7849369.


Cite as: https://hdl.handle.net/21.11116/0000-000A-9F72-3
Abstract
There is no abstract available