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people:sayantan [2018/12/21 17:25] Sayantan Auddy [PhD Student] |
people:sayantan [2019/05/23 19:58] Sayantan Auddy [PhD Student] |
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==== PhD Student ==== | ==== PhD Student ==== | ||
- | Office: 3N05\\ | + | Office: 3N07\\ |
Phone: -\\ | Phone: -\\ | ||
- | Email: [[sayantan.auddy@uibk.ac.at]]\\ | + | Email: sayantan[dot]auddy[at]uibk[dot]ac[dot]at\\ |
\\ | \\ | ||
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* Lifelong learning for robotics | * Lifelong learning for robotics | ||
+ | * Learning from demonstration | ||
+ | * Hierarchical composition of tasks | ||
* Deep reinforcement learning | * Deep reinforcement learning | ||
* Computer vision | * Computer vision | ||
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---- | ---- | ||
- | * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany | + | * January 2018: Master of Science in Intelligent Adaptive Systems from the University of Hamburg, Germany. [[http://edoc.sub.uni-hamburg.de/informatik/volltexte/2018/237/|[MSc Thesis]]] |
* August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India | * August 2009: Bachelor of Technology in Computer Science and Engineering from West Bengal University of Technology, India | ||
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=== Publications === | === Publications === | ||
---- | ---- | ||
- | * September 2018: Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks. S.Auddy, S.Magg, S. Wermter (under review) | + | * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115.[[https://link.springer.com/chapter/10.1007/978-3-319-46073-4_8|[Paper]]] |
- | * September 2016: A Robotic Home Assistant with Memory Aid Functionality. I. Wieser, S. Toprak, A. Grenzing, T. Hinz, S. Auddy [and 14 others]. Proceedings of the 39th German Conference on Artificial Intelligence (KI2016), Volume 9904, pages 102-115. | + | |
=== Teaching Assistance === | === Teaching Assistance === | ||
---- | ---- | ||
+ | * Summer semester 2019: Pro-seminar for the course 'Data Structures and Algorithms' | ||
* Winter semester 2018: Reinforcement learning lectures for the courses 'Introduction to Machine Learning' and 'Advanced Machine Learning' | * Winter semester 2018: Reinforcement learning lectures for the courses 'Introduction to Machine Learning' and 'Advanced Machine Learning' | ||