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people:agostini [2025/02/12 14:22] Alejandro Agostini |
people:agostini [2025/09/08 15:51] (current) Alejandro Agostini |
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| * 2011-2018. Group Leader. Bernstein Center for Computational Neuroscience, University of Göttingen, Germany. | * 2011-2018. Group Leader. Bernstein Center for Computational Neuroscience, University of Göttingen, Germany. | ||
| * 2011. PhD in Artificial Intelligence. Polytechnic University of Catalonia, Spain. | * 2011. PhD in Artificial Intelligence. Polytechnic University of Catalonia, Spain. | ||
| - | * 2005-2011. Graduate Research Position. Spanish Research Council. | + | * 2005-2011. Graduate Research Position. Spanish Research Council (CSIC). |
| * 2008. Eng. Degree in Electronic Engineering. Polytechnic University of Catalonia, Spain. | * 2008. Eng. Degree in Electronic Engineering. Polytechnic University of Catalonia, Spain. | ||
| - | * 2003-2005. Graduate Research Grant. Spanish Research Council. | + | * 2003-2005. Graduate Research Grant. Spanish Research Council (CSIC). |
| * 2004. Dipl. in Informatics. Polytechnic University of Catalonia, Spain. | * 2004. Dipl. in Informatics. Polytechnic University of Catalonia, Spain. | ||
| * 2002-2003. Graduate Research Grant. Polytechnic University of Catalonia, Spain. | * 2002-2003. Graduate Research Grant. Polytechnic University of Catalonia, Spain. | ||
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| * [[https://lfuonline.uibk.ac.at/public/lfuonline_lv.details?sem_id_in=22S&lvnr_id_in=703075|Machine Learning.]] University of Innsbruck. SoSe 2022. | * [[https://lfuonline.uibk.ac.at/public/lfuonline_lv.details?sem_id_in=22S&lvnr_id_in=703075|Machine Learning.]] University of Innsbruck. SoSe 2022. | ||
| * Machine Learning in Robotics. Technical University of Munich. SoSe 2020-2021. | * Machine Learning in Robotics. Technical University of Munich. SoSe 2020-2021. | ||
| - | * Reinforcement Learning for Robotics. Technical University of Munich. WS 2019-2020. | + | * [[https://www.ce.cit.tum.de/hcr/teaching/winter2020/reinforcement-learning-for-robotics/|Reinforcement Learning for Robotics.]] Technical University of Munich. WS 2019-2020. WS 2020-2021. |
| * Advanced Seminar Autonomous System. Technical University of Munich. WS 2019-2020. SoSe 2020. | * Advanced Seminar Autonomous System. Technical University of Munich. WS 2019-2020. SoSe 2020. | ||
| * Project Laboratory Human-centered Robotics. Technical University of Munich. WS 2019-2020. | * Project Laboratory Human-centered Robotics. Technical University of Munich. WS 2019-2020. | ||
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| **Refereed Conference Papers** | **Refereed Conference Papers** | ||
| - | - Paulius, D., Agostini, A., Quartey, B., and Konidaris, G. (2025). [[https://arxiv.org/pdf/2409.12262|Bootstrapping Object-level Planning with Large Language Models.]] In: IEEE International Conference on Robotics and Automation (ICRA). IEEE. Accepted. | + | - Paulius, D., Agostini, A., Quartey, B., and Konidaris, G. (2025). [[https://arxiv.org/pdf/2409.12262|Bootstrapping Object-level Planning with Large Language Models.]] In: IEEE International Conference on Robotics and Automation (ICRA). pp. 16233-16239. DOI: 10.1109/ICRA55743.2025.11127365. IEEE. |
| - Paulius, D., Agostini, A., and Konidaris, G. (2024). [[https://openreview.net/pdf?id=WYT7xeIBTd|From Language to Action with Object-level Planning.]] In 2nd CoRL Workshop on Learning Effective Abstractions for Planning (CoRL). | - Paulius, D., Agostini, A., and Konidaris, G. (2024). [[https://openreview.net/pdf?id=WYT7xeIBTd|From Language to Action with Object-level Planning.]] In 2nd CoRL Workshop on Learning Effective Abstractions for Planning (CoRL). | ||
| - Orbik, J., Agostini, A., and Lee, D (2021). [[https://mediatum.ub.tum.de/doc/1632205/1632205.pdf|Inverse Reinforcement Learning for Dexterous Hand Manipulation.]] In: IEEE International Conference on Development and Learning (ICDL). pp. 1-7. DOI: 10.1109/ICDL49984.2021.9515637. IEEE. | - Orbik, J., Agostini, A., and Lee, D (2021). [[https://mediatum.ub.tum.de/doc/1632205/1632205.pdf|Inverse Reinforcement Learning for Dexterous Hand Manipulation.]] In: IEEE International Conference on Development and Learning (ICDL). pp. 1-7. DOI: 10.1109/ICDL49984.2021.9515637. IEEE. | ||