Model-free reinforcement learning for robust locomotion using demonstrations 
from trajectory optimization

Bogdanovic, Miroslav; Khadiv, Majid; Righetti, Ludovic

doi:10.3389/frobt.2022.854212

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization

MPS-Authors

/persons/resource/persons249788

Bogdanovic, Miroslav
Research Group Movement Generation and Control, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons238702

Khadiv, Majid
Research Group Movement Generation and Control, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons85125

Righetti, Ludovic
Research Group Movement Generation and Control, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource

https://doi.org/10.3389/frobt.2022.854212
(Publisher version)

https://doi.org/10.48550/arXiv.2107.06629
(Preprint)

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

Bogdanovic, M., Khadiv, M., & Righetti, L. (2022). Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization. Frontiers in Robotics and AI, 9: 854212. doi:10.3389/frobt.2022.854212.

Cite as: https://hdl.handle.net/21.11116/0000-000F-E24C-D

Abstract

There is no abstract available