Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks
| Author: | Mochammad Rizky Diprasetya, Ali Nafih Pullani, Andreas SchwungORCiD, Dorothea SchwungORCiD |
|---|---|
| Fachbereich/Einrichtung: | Hochschule Düsseldorf / Fachbereich - Elektro- & Informationstechnik |
| Document Type: | Conference Proceeding |
| Year of Completion: | 2024 |
| Language of Publication: | English |
| Publisher: | IEEE |
| Parent Title (English): | 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 1-4 July 2024 |
| Volume: | 97 |
| Page Number: | 6 |
| First Page: | 43 |
| Last Page: | 48 |
| DOI: | https://doi.org/10.1109/CoDIT62066.2024.10708424 |
| GND Keyword: | Maschinelles Lernen; Bestärkendes Lernen (Künstliche Intelligenz); Industrieroboter; Simulationsmodell; Neuronales Netz |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
| Licence (German): | |
| Release Date: | 2025/01/13 |