Sample-Based Information-Theoretic Stochastic Optimal Control

Lioutikov, R.; Paraschos, A.; Peters, J.; Neumann, G.

doi:10.1109/ICRA.2014.6907424

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Sample-Based Information-Theoretic Stochastic Optimal Control

MPS-Authors

/persons/resource/persons84135

Peters, J.
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

Lioutikov, R., Paraschos, A., Peters, J., & Neumann, G. (2014). Sample-Based Information-Theoretic Stochastic Optimal Control. In 2014 IEEE International Conference on Robotics and Automation (pp. 3896-3902). Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA.2014.6907424.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0025-B629-5

Abstract

There is no abstract available