Jingwei Zhang
Jingwei Zhang
Verified email at informatik.uni-freiburg.de
TitleCited byYear
Deep reinforcement learning with successor features for navigation across similar environments
J Zhang, JT Springenberg, J Boedecker, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
822017
Neural slam: Learning to explore with external memory
J Zhang, L Tai, J Boedecker, W Burgard, M Liu
arXiv preprint arXiv:1706.09520, 2017
402017
Vr-goggles for robots: Real-to-sim domain adaptation for visual control
J Zhang, L Tai, P Yun, Y Xiong, M Liu, J Boedecker, W Burgard
IEEE Robotics and Automation Letters 4 (2), 1148-1155, 2019
262019
Socially compliant navigation through raw depth inputs with generative adversarial imitation learning
L Tai, J Zhang, M Liu, W Burgard
2018 IEEE International Conference on Robotics and Automation (ICRA), 1111-1117, 2018
202018
A survey of deep network solutions for learning control in robotics: From reinforcement to imitation
L Tai, J Zhang, M Liu, J Boedecker, W Burgard
arXiv preprint arXiv:1612.07139, 2016
122016
Curiosity-driven exploration for mapless navigation with deep reinforcement learning
O Zhelo, J Zhang, L Tai, M Liu, W Burgard
arXiv preprint arXiv:1804.00456, 2018
62018
Supplement file of VR-Goggles for robots: Real-to-sim domain adaptation for visual control
J Zhang, L Tai, PYYXM Liu, JBW Burgard
Training 853 (840), 715, 2018
32018
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
J Zhang, N Wetzel, N Dorka, J Boedecker, W Burgard
arXiv preprint arXiv:1903.07400, 2019
22019
Perspectives on Deep Multimodel Robot Learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
2*
pytorch-dnc
J Zhang
https://github.com/jingweiz/pytorch-dnc, 2017
2017
pytorch-rl
J Zhang, L Tai
https://github.com/jingweiz/pytorch-rl, 2017
2017
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Articles 1–11