Honghu Xue, M. Sc.


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

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

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)




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


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
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)
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