at Google ScholarTitle data
Beyret, Benjamin ; Shafti, Ali ; Faisal, A. Aldo:
Dot-to-Dot : Explainable Hierarchical Reinforcement Learning for Robotic Manipulation.
In:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Proceedings. -
Piscataway, NJ
: IEEE
,
2019
. - pp. 5014-5019
ISBN 978-1-7281-4004-9
DOI: https://doi.org/10.1109/IROS40897.2019.8968488
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Life Sciences: Food, Nutrition and Health Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 500 Natural sciences 600 Technology, medicine, applied sciences > 600 Technology |
| Date Deposited: | 24 Aug 2023 08:44 |
| Last Modified: | 24 Aug 2023 08:44 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/86681 |