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ORCIDJingwei Zhang 0001
Person information
- affiliation (PhD 2021): University of Freiburg, Department of Computer Science, Freiburg im Breisgau, Germany
Other persons with the same name
- Jingwei Zhang — disambiguation page
- Jingwei Zhang 0002 — Virginia Polytechnic Institute and State University, Department of Mathematics, VA, USA
- Jingwei Zhang 0003
![[0000-0002-7907-2853]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7907-2853")
— Guilin University Of Electronic Technology, Guangxi Key Laboratory of Trusted Software, China - Jingwei Zhang 0004 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore
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2020 – today
- 2024
[c7]Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. ICML 2024- [c6]Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. ICML 2024 - [c5]Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller:
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA 2024: 7772-7779 - [i14]Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller:
Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR abs/2402.05546 (2024) - [i13]Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - [i12]Jingwei Zhang, Thomas Lampe, Abbas Abdolmaleki, Jost Tobias Springenberg, Martin A. Riedmiller:
Game On: Towards Language Models as RL Experimenters. CoRR abs/2409.03402 (2024) - 2023
- [i11]Jingwei Zhang, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Abbas Abdolmaleki, Dushyant Rao, Nicolas Heess, Martin A. Riedmiller:
Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains. CoRR abs/2302.12617 (2023) - [i10]Ingmar Schubert, Jingwei Zhang, Jake Bruce, Sarah Bechtle, Emilio Parisotto, Martin A. Riedmiller, Jost Tobias Springenberg, Arunkumar Byravan, Leonard Hasenclever, Nicolas Heess:
A Generalist Dynamics Model for Control. CoRR abs/2305.10912 (2023) - [i9]Cristina Pinneri, Sarah Bechtle, Markus Wulfmeier, Arunkumar Byravan, Jingwei Zhang, William F. Whitney, Martin A. Riedmiller:
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning. CoRR abs/2309.07578 (2023) - [i8]Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller:
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR abs/2312.11374 (2023) - 2021
- [b1]Jingwei Zhang:
Learning navigation policies with deep reinforcement learning. University of Freiburg, Freiburg im Breisgau, Germany, 2021 - 2020
- [c4]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS 2020: 5526-5533 - [i7]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR abs/2003.04046 (2020)
2010 – 2019
- 2019
- [j1]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 Autom. Lett. 4(2): 1148-1155 (2019) - [i6]Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard:
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR abs/1903.07400 (2019) - 2018
- [c3]Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard:
Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. ICRA 2018: 1111-1117 - [i5]Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. CoRR abs/1802.00265 (2018) - [i4]Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard:
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. CoRR abs/1804.00456 (2018) - 2017
- [c2]Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard:
Deep reinforcement learning with successor features for navigation across similar environments. IROS 2017: 2371-2378 - [c1]Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira:
Perspectives on Deep Multimodel Robot Learning. ISRR 2017: 17-24 - [i3]Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu:
Neural SLAM. CoRR abs/1706.09520 (2017) - [i2]Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard:
Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning. CoRR abs/1710.02543 (2017) - 2016
- [i1]Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard:
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments. CoRR abs/1612.05533 (2016)
Coauthor Index
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