Jingwei Zhang
Jingwei Zhang
Email verificata su informatik.uni-freiburg.de
Titolo
Citata da
Citata da
Anno
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
1872017
Neural slam: Learning to explore with external memory
J Zhang, L Tai, J Boedecker, W Burgard, M Liu
arXiv preprint arXiv:1706.09520, 2017
1202017
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
1022018
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
712019
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
552016
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
432018
Ferromagnetism and microwave electromagnetism of iron-doped titanium nitride nanocrystals
C Yan, X Cheng, Y Zhang, D Yin, C Gong, L Yu, J Zhang, Z Zhang
The Journal of Physical Chemistry C 116 (49), 26006-26012, 2012
332012
Fabrication of octahedral-shaped polyol-based zinc alkoxide particles and their conversion to octahedral polycrystalline ZnO or single-crystal ZnO nanoparticles
J Zhang, P Zhu, J Li, J Chen, Z Wu, Z Zhang
Crystal Growth and Design 9 (5), 2329-2334, 2009
292009
Synthesis of Ni/SiO2 nanocomposites for tunable electromagnetic absorption
C Gong, X Wang, X Zhang, X Zhao, H Meng, Y Jia, J Zhang, Z Zhang
Materials Letters 121, 81-84, 2014
262014
Room-temperature ferromagnetism evolution in nanostructured titanium nitride superconductors—the influence of structural defects
C Gong, C Yan, J Zhang, X Cheng, H Pan, C Zhang, L Yu, Z Zhang
Journal of Materials Chemistry 21 (39), 15273-15278, 2011
262011
Deep reinforcement learning with successor features for navigation across similar environments. In 2017 IEEE
J Zhang, JT Springenberg, J Boedecker, W Burgard
RSJ International Conference on Intelligent Robots and Systems (IROS), 2371-2378, 0
17
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
122019
Perspectives on Deep Multimodel Robot Learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
6*
Efficiency and equity are both essential: A generalized traffic signal controller with deep reinforcement learning
S Yan, J Zhang, D Büscher, W Burgard
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
42020
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
42018
Attend2Pack: Bin Packing through Deep Reinforcement Learning with Attention
J Zhang, B Zi, X Ge
arXiv preprint arXiv:2107.04333, 2021
2021
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–18