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Simon Holk – KTH. I am a PhD student at RPL (Robotics, Perception and Learning) , in the social robotics group at KTH, Stockholm under the supervision of Iolanda Leite. My research revolves around reinforcement learning from human feedback (RLHF).
Simon Holk. KTH Royal Institute of Technology. Verified email at kth.se - Homepage. Reinforcement Learning Human-robot interaction RLHF Machine Learning.
Simon Holk, Daniel Marta, and Iolanda Leite. ICRA'24 - Nominated for best HRI paper, best student paper, and best conference paper. This paper aims to improve the granularity of preference-based feedback by adding temporal trajectory segmentation to highlight positive and negative parts.
Details. Works for. DIVISION OF ROBOTICS, PERCEPTION AND LEARNING. Address. LINDSTEDTSVÄGEN 24. E-mail. sholk@kth.se. Room. 404. Researcher ID. Web of Science ResearcherID Google Scholar ID. About me. I'm a phd student working in the social robotics team at the RPL department under Iolanda Leite.
Mar 11, 2024 · Simon Holk, Daniel Marta, and Iolanda Leite. 2024. PREDILECT: Preferences evidence Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24), March 11–14, 2024, Boulder, CO, USA.
KTH Royal Institute of Technology. Info. Software engineer with 1+ year of working experience touching most parts of the data pipeline journey from databases, realtime transformations, APIs to...
- KTH Royal Institute of Technology
Simon Holk sholk@kth.se 0000-0001-5727-8140 KTH Royal Institute of Technology Stockholm, Sweden, Daniel Marta dlmarta@kth.se 0000-0002-3510-5481 KTH Royal Institute of Technology Stockholm, Sweden and Iolanda Leite iolanda@kth.se 0000-0002-2212-4325 KTH Royal Institute of Technology Stockholm, Sweden
