English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Admissible Policy Teaching through Reward Design

MPS-Authors
/persons/resource/persons269486

Banihashem,  Kiarash
Group A. Singla, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons216578

Singla,  Adish       
Group A. Singla, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons269488

Gan,  Jiarui
Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons246492

Radanovic,  Goran
Group K. Gummadi, Max Planck Institute for Software Systems, Max Planck Society;

External Resource
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

Banihashem, K., Singla, A., Gan, J., & Radanovic, G. (2022). Admissible Policy Teaching through Reward Design. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 6037-6045). Palo Alto, CA: AAAI. doi:10.1609/aaai.v36i6.20550.


Cite as: https://hdl.handle.net/21.11116/0000-000A-CF9F-B
Abstract
There is no abstract available