Jingwei Zhang

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office: 080-01-024

zhang@informatik.uni-freiburg.de
Phone: +49 761 203-98633
Fax: +49 761 203-8007

About me

09/2014 ~ up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as a PhD student (leave of absence 02/2015 ~ 07/2015)
08/2011 ~ 12/2013: Master o.Sc. in Mechanical Engineering, Carnegie Mellon University
09/2007 ~ 06/2011: Bachelor o.Sc. in Measurement and Control Instruments and Technology with minor in Computer Science, Chengdu University of Technology, University of Electronic Science and Technology of China

Academic Websites

Internships

07/2020 ~ 12/2020: Research Scientist Intern, Noah's Ark Lab, Huawei
07/2019 ~ 09/2019: Research Scientist Intern, AI Research, Apple
03/2014 ~ 08/2014: Software Engineer Intern, Near Earth Autonomy

Research Interests

Deep Reinforcement Learning
Autonomous Navigation

Teaching

TA, Deep Learning Lab Course, University of Freiburg, WS2017/18
TA, Deep Learning Lab Course, University of Freiburg, WS2016/17

Publications

Shengchao Yan, Jingwei Zhang, Daniel Buescher, Wolfram Burgard
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
To appear in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020
Download BibTeX

@inproceedings{yan20iros,
  author    = {Shengchao Yan and Jingwei Zhang and Daniel Buescher and Wolfram Burgard},
  title     = {Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning},
  booktitle = {Proc. ~of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  url       = {http://ais.informatik.uni-freiburg.de/publications/papers/yan20iros.pdf},
  year      = {2020}
}

Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
In Proceedings of the workshop of Exploration in Reinforcement Learning (Spotlight Talk), Internatioal Conference on Machine Learning (ICML), Long Beach, USA, 2019
Download BibTeX

@inproceedings{zhang19icmlws,
author = {Jingwei Zhang and Niklas Wetzel and Nicolai Dorka and Joschka Boedecker and Wolfram Burgard},
title = {Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration},
booktitle = {Proc.~of the Workshop of Exploration in Reinforcement Learning at IEEE International Conference on Machine Learning (ICML)},
year={2019},
month={June},
address = {Long Beach, USA},
url={http://ais.informatik.uni-freiburg.de/publications/papers/zhang19icmlws.pdf}
}

Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
IEEE Robotics and Automation Letters (RA-L), 4(2):1148-1155, 2019
Download BibTeX

@article{zhang19ral,
author={Jingwei Zhang and Lei Tai and Yun Peng and Yufeng Xiong and Ming Liu and Joschka Boedecker and Wolfram Burgard},
title={VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control},
journal={{IEEE} Robotics and Automation Letters (RA-L)},
year={2019},
volume={4},
number={2},
pages={1148--1155},
doi={10.1109/LRA.2019.2894216},
url={http://ais.informatik.uni-freiburg.de/publications/papers/zhang19ral.pdf}
}

Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018
Download BibTeX

@inproceedings{tai18icra,
 author = {Lei Tai and Jingwei Zhang and Ming Liu and Wolfram Burgard},
 title = {Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning},
 booktitle = {Proc.~of the IEEE Int.~Conf.~on Robotics \& Automation (ICRA)},
 year = {2018},
 address = {Brisbane, Australia},
 url = {http://ais.informatik.uni-freiburg.de/publications/papers/tai18icra.pdf}
}

Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
In Proceedings of the workshop of Machine Learning in Planning and Control of Robot Motion, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, 2018
Download BibTeX

@inproceedings{zhelo18icraws,
author = {Oleksii Zhelo and Jingwei Zhang and Lei Tai and Ming Liu and Wolfram Burgard},
title = {Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning},
booktitle = {Proc.~of the Workshop in Machine Learning in the Planning and Control of Robot Motion at IEEE Int.~Conf.~on Robotics \& Automation (ICRA)},
year={2018},
address = {Brisbane, Australia},
url={http://ais.informatik.uni-freiburg.de/publications/papers/zhelo18icraws.pdf}
}

Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira
Perspectives on Deep Multimodel Robot Learning
In Proceedings of the International Symposium on Robotics Research (ISRR), Puerto Varas, Chile, 2017
Download BibTeX

@inproceedings{burgard_2017_isrr,
 author = {Wolfram Burgard and Abhinav Valada and Noha Radwan and Tayyab Naseer and Jingwei Zhang and Johan Vertens and Oier Mees and Andreas Eitel and Gabriel Oliveira},
 title = {Perspectives on Deep Multimodel Robot Learning},
 booktitle = {Proc.~of the International Symposium on Robotics Research (ISRR)},
 year = {2017},
 address = {Puerto Varas, Chile},
 url = {http://ais.informatik.uni-freiburg.de/publications/papers/burgard17isrr.pdf}
}

Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, 2017
Download BibTeX

@inproceedings{zhang17iros,
  author    = {Jingwei Zhang and Jost Tobias Springenberg and Joschka Boedecker and Wolfram Burgard},
  title     = {Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments},
  booktitle = {Proc. ~of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  url       = {http://ais.informatik.uni-freiburg.de/publications/papers/zhang17iros.pdf},
  year      = {2017}
}

Technical Reports

Jingwei Zhang, Lei Tai, Ming Liu, Joschka Boedecker, Wolfram Burgard
Neural SLAM: Learning to Explore with External Memory
Download BibTeX

@article{zhang2017neural,
  title     = {Neural SLAM: Learning to Explore with External Memory},
  author    = {Zhang, Jingwei and Tai, Lei and Liu, Ming and Boedecker, Joschka and Burgard, Wolfram},
  journal   = {arXiv preprint arXiv:1706.09520},
  year      = {2017}
}

Lei Tai, Jingwei Zhang, Ming Liu, Joschka Boedecker, Wolfram Burgard
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
Download BibTeX

@article{tai2016survey,
  title     = {A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation},
  author    = {and Tai, Lei and Zhang, Jingwei and Liu, Ming and Boedecker, Joschka and Burgard, Wolfram},
  journal   = {arXiv preprint arXiv:1612.07139},
  year      = {2016}
}

Supervised Thesis/Projects

Baohe Zhang
Using Graph Neural Network as Dynamics Model
Vigan Maxhera
Adjusting Velocities with Deep Reinforcement Learning
Tobias Demmler
Deep Reinforcement Learning for Optimal Traffic Junction Behavior
Yufeng Xiong
Targer-driven Visual Navigation for Mobile Robots throught Deep Reinforcement Learning
Lukas Hermann
Vision-based Robot Manipulation using Natural Policy Gradient in Simulated Environments
Oleksii Zhelo
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

Articleactions