Kay Hansel Team
Kay Hansel
Quick Info
Research Interests
Machine Learning, Robotics, Human-Robot Interaction, Optimal Control, Motor-Skill Learning, Hyper-Autonomous Robot Learning, Musterlösungen
More Information
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Contact Information
Kay Hansel
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office.
Room E225, Building S2|02
+49-6151-16-20073
kay.hansel@tu-darmstadt.de
kay@robot-learning.de
Kay Hansel joined the Intelligent Autonomous Systems (IAS) Lab as a Ph.D. student in May 2021. His research interests include machine learning, reinforcement learning, optimal control, and robotics.
Before starting his Ph.D., Kay Hansel completed his Bachelor's degree in Applied Mathematics at the RheinMain University of Applied Sciences and his Master's degree in Autonomous Systems at the TU Darmstadt. His thesis "Probabilistic Dynamic Mode Primitives" was written under the supervision of Svenja Stark and Hany Abdulsamad.
Research Interests
Machine Learning, Reinforcement Learning, Imitation Learning, Optimal Control, Robotics, Telerobotics, Human-Robot Interaction
Key References
Reinforcement Learning
- Moos, J.; Hansel, K.; Abdulsamad, H.; Stark, S.; Clever, D.; Peters, J. (2022). Robust Reinforcement Learning: A Review of Foundations and Recent Advances, Machine Learning and Knowledge Extraction, 4, 1, pp.276--315, MDPI. Download Article BibTeX Reference
- Hansel, K.; Moos, J.; Derstroff, C. (2021). Benchmarking the Natural Gradient in Policy Gradient Methods and Evolution Strategies, Reinforcement Learning Algorithms: Analysis and Applications, pp.69--84, Springer. BibTeX Reference
- Belousov, B.; Abdulsamad H.; Klink, P.; Parisi, S.; Peters, J. (2021). Reinforcement Learning Algorithms: Analysis and Applications, Studies in Computational Intelligence, Springer International Publishing. Download Article BibTeX Reference
Imitation Learning
- Hansel, K. (2021). Probabilistic Dynamic Mode Primitives, Master Thesis. Download Article BibTeX Reference
