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ORCIDZhe Wang 0055
Person information
- affiliation: Google DeepMind
Other persons with the same name
- Zhe Wang — disambiguation page
- Zhe Wang 0001
![[0000-0002-1367-7139]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1367-7139")
— Griffith University, School of Information and Communication Technology, Australia - Zhe Wang 0002 — East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (and 1 more)
- Zhe Wang 0003 — Huawei Technologies Co. Ltd. (and 1 more)
- Zhe Wang 0004 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Zhe Wang 0005 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 3 more)
- Zhe Wang 0006 — SenseTime Group Limited (and 1 more)
- Zhe Wang 0007 — Jilin University, College of Computer Science and Technology, Changchun, China
- Zhe Wang 0008 — University of Stuttgart, Institute of Parallel and Distributed Systems, Germany
- Zhe Wang 0009 — University of Reading, UK
- Zhe Wang 0010 — Tsinghua University, Graduate School at Shenzhen, China
- Zhe Wang 0011 — University of Chinese Academy of Sciences, Beijing, China
- Zhe Wang 0012 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Zhe Wang 0013 — University of California, Irvine, CA, USA (and 2 more)
- Zhe Wang 0014 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Zhe Wang 0015 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Zhe Wang 0016 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Zhe Wang 0017 — University of Chinese Academy of Sciences, Institute of Computing Technology, Huairou, Beijing, China
- Zhe Wang 0018 — China Academy of Information and Communications Technology, Beijing, China (and 1 more)
- Zhe Wang 0019 — Peking University, Beijing, China
- Zhe Wang 0020 — University of Southern Caifornia, Los Angeles, CA, USA
- Zhe Wang 0021 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Zhe Wang 0022 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
- Zhe Wang 0023 — Intel, USA (and 2 more)
- Zhe Wang 0024 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Zhe Wang 0025 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Zhe Wang 0026 — Northwestern Polytechnical University, Shaanxi Engineering Laboratory for Transmissions and Controls, Xi'an, China
- Zhe Wang 0027 — Tianjin University of Technology, Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, China
- Zhe Wang 0028 — Boston University, Bioinformatics Program, MA, USA
- Zhe Wang 0029 — Lincoln University, Christchurch, New Zealand (and 2 more)
- Zhe Wang 0030 — Duke University, Department of Mathematics, Durham, NC, USA
- Zhe Wang 0031 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, China
- Zhe Wang 0032 — University of Toyama, Faculty of Engineering, Japan
- Zhe Wang 0033 — University of Waterloo, School of Computer Science, ON, Canada
- Zhe Wang 0034 — Qufu Normal University, Department of Physical Education, Rizhao, China
- Zhe Wang 0035 — Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power System, Beijing, China
- Zhe Wang 0036 — Oakland University, Department of Chemistry, Rochester, MI, USA (and 3 more)
- Zhe Wang 0037 — Guangxi University for Nationalities, Institute of Artificial Intelligence, Nanning, China (and 1 more)
- Zhe Wang 0038 — Beijing Jiaotong University, Institute of Information Science, China
- Zhe Wang 0039 — Central China Normal University, School of Public Administration, Wuhan, China
- Zhe Wang 0040 — Chongqing University, School of Big Data and Software Engineering, China
- Zhe Wang 0041 — Zhejiang University, Innovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Hangzhou, China
- Zhe Wang 0042 — University of Exeter, College of Engineering, Mathematics and Physical Sciences, Exeter, UK
- Zhe Wang 0043 — Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Zhe Wang 0044 — Xidian University, China
- Zhe Wang 0045 — University of Louisville, Louisville, KY, USA
- Zhe Wang 0046 — Wuhan University of Technology, Wuhan, China
- Zhe Wang 0047 — National University of Defense Technology, Changsha, China
- Zhe Wang 0048 — East China Normal University, Shanghai, China
- Zhe Wang 0049 — Peking University Shenzhen Graduate School, Peking University, Shenzhen, China
- Zhe Wang 0050 — Chongqing University, Chongqing, China
- Zhe Wang 0051 — Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
- Zhe Wang 0052 — Xi'an University of Posts and Telecommunications, China
- Zhe Wang 0053 — Sichuan Tourism University, China
- Zhe Wang 0054 — Nanyang Technological University, Singapore
- Zhe Wang 0056 — FoundationDB, Cupertino, California, USA
- Zhe Wang 0057 — Nanjing Normal University, Nanjing, China
- Zhe Wang 0058 — Hohai University, Changzhou, China
- Zhe Wang 0059 — Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Zhe Wang 0060 — Meituan
- Zhe Wang 0061 — South China Agricultural University, Guangzhou, China
- Zhe Wang 0062 — Jiangsu Ocean University, Lianyungang, China
- Zhe Wang 0063 — Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Zhe Wang 0064 — King's College London, London, UK
- Zhe Wang 0065 — Southeast University, Nanjing, China
- Zhe Wang 0066 — Wuhan University of Technology, Wuhan, China
- Zhe Wang 0067 — Northeastern University, Shenyang, China
- Zhe Wang 0068 — Meituan Group, Beijing, China
- Zhe Wang 0069 — Xidian University, Xian, China
- Zhe Wang 0070 — Tsinghua University, Institute for AI Industry, Research (AIR), Beijing, China
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Journal Articles
- 2022
[j3]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls:
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022)- [j2]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
From motor control to team play in simulated humanoid football. Sci. Robotics 7(69) (2022) - 2021
- [j1]Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71: 41-88 (2021)
Conference and Workshop Papers
- 2020
- [c1]Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos:
A Generalized Training Approach for Multiagent Learning. ICLR 2020
Data and Artifacts
- 2022
- [d2]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". Zenodo, 2022
- [d1]Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls:
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". Zenodo, 2022
Informal and Other Publications
- 2025
- [i8]Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias:
Learning-Order Autoregressive Models with Application to Molecular Graph Generation. CoRR abs/2503.05979 (2025) - 2023
- [i7]Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls:
TacticAI: an AI assistant for football tactics. CoRR abs/2310.10553 (2023) - 2022
- [i6]Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls:
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR abs/2206.15378 (2022) - [i5]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls:
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022) - 2021
- [i4]Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess:
From Motor Control to Team Play in Simulated Humanoid Football. CoRR abs/2105.12196 (2021) - [i3]Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls:
Time-series Imputation of Temporally-occluded Multiagent Trajectories. CoRR abs/2106.04219 (2021) - 2020
- [i2]Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR abs/2011.09192 (2020) - 2019
- [i1]Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos:
A Generalized Training Approach for Multiagent Learning. CoRR abs/1909.12823 (2019)
Coauthor Index
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