Honghu Xue, M. Sc.


Doktorand

Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, Raum 66 (EG)

Telefon: +49 451 31015213
Fax: +49 451 31015204
Email:

Short Biography

Honghu Xue received his M.Sc. in Embedded Systems Engineering at Albert-Ludwigs-University of Freiburg with the study focus on Reinforcement Learning, Machine Learning and AI. From March.2019, he is a Ph.D. student at the institute "Robotics and Cognitive Systems".

Research Interestes

  • (Deep) Reinforcement Learning (Model-based RL, Sample-efficient RL, RL on hard problems featuring long time horizon)
  • Efficient Exploration Strategy
  • Online Model Learning in RL via Deep Learning (sequential prediction problem and Probabilistic model characterizing transition stochasticity)

Membership

Publikationen

2021

Mehmet Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E Miller, Elmar Rueckert and Philipp Beckerle, Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience (2021), in: Advanced Intelligent Systems
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2020

Mete Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker, Honghu Xue, ‪Ahmet Ercan Tekden and Emre Ugur, ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Virtual Conference, Conference on Robot Learning (CoRL), 2020
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Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard and Elmar Rueckert, Parameter Optimization for Loop Closure Detection in Closed Environments (2020), in: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS)(8)
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Honghu Xue, Sven Böttger, Nils Rottmann, Harit Pandya, Ralf Bruder, Gerdhard Neumann and Elmar Rueckert, Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks, Berlin, Germany, Proceedings of International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2020
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