Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]
- DOI
- 10.1109/mra.2022.3207664
- Published
- 2023-06
- Container
- IEEE Robotics & Automation Magazine
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/mra.2022.3207664,
title = {Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]},
author = {Julian Eßer and Nicolas Bach and Christian Jestel and Oliver Urbann and Sören Kerner},
year = {2023},
journal = {IEEE Robotics \& Automation Magazine},
doi = {10.1109/mra.2022.3207664},
url = {https://doi.org/10.1109/mra.2022.3207664}
}RIS
TY - JOUR TI - Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey] AU - Julian Eßer AU - Nicolas Bach AU - Christian Jestel AU - Oliver Urbann AU - Sören Kerner PY - 2023 JO - IEEE Robotics & Automation Magazine DO - 10.1109/mra.2022.3207664 UR - https://doi.org/10.1109/mra.2022.3207664 ER -
APA
Eßer, J., Bach, N., Jestel, C., Urbann, O., & Kerner, S. (2023). Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]. IEEE Robotics & Automation Magazine. https://doi.org/10.1109/mra.2022.3207664
Source records
- crossref · retrieved 2026-09-25T18:08:58.932Z